The Python Podcast.__init__

Summary Adding translations to our projects makes them usable in more places by more people which, ultimately, makes them more valuable. Managing the localization process can be difficult if you don’t have the right tools, so this week Michal čihař tells us about the Weblate project and how it simplifies the process of integrating your translations with your source code. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey and today I’m interviewing Michal Čihař about Weblate Interview with Michal Čihař Introductions How did you get introduced to Python? Can you explain what Weblate is and the problem that you were trying to solve by creating it? What are the benefits of using Weblate over other tools for localization and internationalization? One of the advertised features of Weblate is integration with git and mercurial. Can you explain how that works and what a typical translation workflow looks like both for a developer and a translator? Given that part of the focus for the tool is to allow for community translation, how do you simplify the experience for first time contributors? I understand that Weblate is written as a django application. Is it possible to use Weblate with other Web frameworks or non-web projects? Can this be used with projects implemented in other programming laguages? Are there any capabilities that are lot in this scenario? Why should developers and product managers be concerned with localizing an application? How does Weblate help to reduce the level of investment necessary for such an undertaking? What are some of the biggest difficulties that you have encountered while building and maintaining Weblate? What are the most common problems that you see people encounter on both the translator and developer side when dealing with internationalization and localization? Keep In Touch Weblate.org Facebook Twitter GitHub Picks Tobias War Dogs Michal Jordi’s Chocolate Links L20N The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary As the amount of text available on the internet and in businesses continues to increase, the need for fast and accurate language analysis becomes more prominent. This week Matthew Honnibal, the creator of SpaCy, talks about his experiences researching natural language processing and creating a library to make his findings accessible to industry. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey and today I’m interviewing Matthew Honnibal about SpaCy and Explosion.AI Interview with Matthew Honnibal Introductions How did you get introduced to Python? Can you start by sharing what SpaCy is and what problem you were trying to solve when you created it? Another project for natural language processing that has been part of the Python ecosystem for a number of years is the Natural Language Tool Kit (NLTK). How does SpaCy differ from the NLTK and are there any cases where that would be the better choice? How much knowledge of NLP and computational linguistics is necessary to be able to use SpaCy? What does the internal design and architecture of SpaCy look like and what are the biggest challenges associated with its development to date and into the future? One of the projects that you have built around SpaCy which I think is really cool and caught my attention when I first found your project is the displaCy visualization tool. Can you explain what that is and why you think it is important? What are some kinds of applications where SpaCy would be useful which might not be obvious candidates for it? Why is speed such an important focus for an NLP library? One of the ways that you have been able to gain a speed boost is through releasing the GIL and allowing for true parallelism via Cython. How have you managed to ensure that this doesn’t lead to data races and program failures? Building on the success of SpaCy you founded a company called Explosion AI. Can you explain what your goals are for this endeavor and the kinds of services that you are offering? What are some of the most interesting uses of SpaCy that you have seen? What do you have planned for the future of SpaCy? Keep In Touch Twitter Matthew SpaCy Explosion AI Mailing List Explosion AI Contact Form Picks Tobias Zoom H4N Pro Shure SM58 Links Reddit sense2vec demo DisplaCy DisplaCy Entity Visualizer SpaCy Showcase NLTK Chartbeat Cytora The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Are you looking for a backend as a service offering where you have full control of your data? Look no further than Kinto! This week Alexis Metaireau and Mathieu Leplatre share the story of how Kinto was created, how it works under the covers, and some of the ways that it is being used at Mozilla and around the web. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey and today I’m interviewing Alexis Metaireau and Mathieu Leplatre about Kinto Interview with Alexis and Mathieu Introductions How did you get introduced to Python? What is Kinto and how did it get started? What does the internal architecture of Kinto look like? Given that the primary data format being stored is JSON, why did you choose PostGreSQL as your storage backend instead of a NoSQL document database such as CouchDB? Synchronization of transactions from multiple users, including offline first support, is a difficult problem. How have you approached that in Kinto and what are some of the alternate solutions that were considered? Designing usable APIs is a complicated subject. What features did you prioritize while creating the interfaces to Kinto? What are some of the most innovative uses of Kinto that you have seen? What are some of the biggest challenges that you have faced while building Kinto? What do you have planned for the future of Kinto? Keep In Touch Kinto Github Mailing List Alexis Email Mathieu Twitter Email Picks Tobias What are you working on this week with Python? Alexis Miles Davis – Bitches Brew Mathieu Sigal Subliminal Links Pocket CouchDB OpenAPI WebCrypto Formbuilder Firebase Kinto Comparison Table Mozilla Persona Portier The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Plone is one of the first CMS projects to be built using Python and it is still being actively developed. This week Eric Steele, the release manager for Plone, tells us about how it got started, how it is architected, and how the community is one of its greatest strengths Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey and today I’m interviewing Eric Steele about the Plone CMS. Interview with Eric Steele Introductions How did you get introduced to Python? Can you start by explaining a bit about what Plone is and how you got involved with it? How did the Plone project get started and how has it evolved over the years? What makes Plone unique among the myriad CMS tools that are available and which of them do you consider to be direct competitors? Plone has managed to keep an impressive track record of security. What are some of the key features that enable that? I know that for much of its history, the default data storage for plone was the ZODB (Zope Object DataBase). How would you describe its benefits and drawbacks for someone who is familiar with a relational database? Plone is one of the most long-lived Python projects that I am aware of. What are some of the most difficult maintenance challenges that you have encountered over the years of its existence? What does the internal architecture of Plone look like? One of the major tenets of the project is the ability to install extensions. What are some of the most interesting plugins that you are aware of? What kinds of projects are Plone best suited for? What does the workflow look like for a user of Plone? What are some of the most interesting uses of Plone that you have seen? What are the biggest challenges facing the Plone project and community as development and deployment paradigms continue to change? Keep In Touch Plone Website Forum IRC: #plone on freenode.net Eric Twitter E-mail Picks Tobias The Inquiry (podcast) PyCon US Eric Really Bad Chess Home Assistant Links Zope ZEO PloneFormGen Rapido CastleCMS Plumi Bika LIMS Quaive (Plone Intranet) Open Advice The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA .

Summary In this episode Chris and I look back at the past 83 episodes of the show and talk about what we learned, what we’ve enjoyed, and some of the highlights. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing each other about the past year and a half of the show. Interview with Tobias and Chris Introductions What have been some of the most unexpected or surprising aspects of the show for you during the past year and a half? – Tobias What are your top three favorite shows so far and why? – Chris If you could have a longer conversation with any of the past guests, who would you pick? – Tobias What has doing the show meant to you? – Chris What have you learned while doing the show that you wish you had known at the start? – Tobias How has the production process evolved since the beginning of the show? – Chris Chris Leaving the Show – Chris Tobias and I started new jobs (At MIT Office of Digital Learning and Amazon Web Services, respectively) We’re much, much busier these days, making coordination difficult Tobias is ready to take the show solo and I (Chris) support him in this Chris still plans to support the show as an avid fan Keep In Touch Chris’s Contact Info Picks Tobias Locust Chris StaSh – Shell for Pythonista Producing a Podcast The Python Community The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Housing is something that we all have experience with, but many don’t understand the complexities of the market. This week Travis Jungroth talks about how HouseCanary uses data to make the business of real estate more transparent. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey and today I’m interviewing Travis Jungrot about HouseCanary, a company that is using Python and machine learning to help you make real estate decisions. Interview with Travis Jungroth Introductions How did you get introduced to Python? What is HouseCanary and what problem is it trying to solve? Who are your customers? Is it possible to get data and predictions at the neighborhood level for individual homebuyers to use in their purchasing decisions? What do you use for your data sources and how do you validate their accuracy? What are some of the sources of bias that are present in your data and what strategies are you using to account for them? Can you describe where Python is leveraged in your environment? What are some of the biggest software design and architecture challenges that you are facing while you continue to grow? What are the areas where Python isn’t the right choice and which languages are used in its place? What are the biggest predictors of future value for residential real estate? Can your system be used to identify risks associated with the housing market, similar to those seen in the bubble that triggered the 2008 economic failure? What are some of the most interesting details that you have discovered about real estate and housing markets while working with HouseCanary? Keep In Touch HouseCanary Website Twitter Travis Twitter Github Picks Tobias Railsea by China Miéville Kraken by China Miéville Travis DDT On Writing Well by William Zinser Links Hacking Secret Ciphers with Python The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Speech is the most natural interface for communication, and yet we force ourselves to conform to the limitations of our tools in our daily tasks. As computation becomes cheaper and more ubiquitous and artificial intelligence becomes more capable, voice becomes a more practical means of controlling our environments. This week Steve Penrod shares the work that is being done on the Mycroft project and the company of the same name. He explains how he met the other members of the team, how the project got started, what it can do right now, and where they are headed in the future. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com to talk to previous guests and other listeners of the show. Your host as usual is Tobias Macey and today I’m interviewing Steve Penrod about the company and project Mycroft, a voice controlled, AI powered personal assistant written in Python. Interview with Steve Penrod Introductions How did you get introduced to Python? Can you start by describing what Mycroft is and how the project and business got started? How is Mycroft architected and what are the biggest challenges that you have encountered while building this project? What are some of the possible applications of Mycroft? Why would someone choose to use Mycroft in place of other platforms such as Amazon’s Alexa or Google’s personal assistant? What kinds of machine learning approaches are being used in Mycroft and do they require a remote system for execution or can they be run locally? What kind of hardware is needed for someone who wants to build their own Mycroft and what does the install process look like? It can be difficult to run a business based on open source. What benefits and challenges are introduced by making the software that powers Mycroft freely available? What are the mechanisms for extending Mycroft to add new capabilities? What are some of the most surprising and innovative uses of Mycroft that you have seen? What are the long term goals for the Mycroft project and the business that you have formed around it? Keep In Touch Website Picks Tobias yip Myths and Legends Podcast Steve Ethiopian Cuisine Blue Nile in KC Kansas City Barbecue Joe’s KC Links Google Home Tom Waits – Heart Attack & Vine mycroft.ai FLITE Vocalid Vocalid TED Talk PocketSphinx GE FirstBuild Sonar GNU Linux The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Annapoornima Koppad is a director of the PSF, founder of the Bangalore chapter of PyLadies, and is a Python instructor at the Indian Institute of Science. In this week’s episode she talks about how she got started with Python, her experience running the PyLadies meetup, and working with the PSF. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Annapoornima Koppad about her career with Python and her experiences running the PyLadies chapter in Bangalore, India and being a director for the Python Software Foundation. Interview with Annapoornima Koppad Introductions How did you get introduced to Python? – Tobias I noticed that you have been freelancing for several years now. How much of that has been in Python and how has that fed back into your other activities? – Tobias While preparing for this interview I came across the book that you self-published on Amazon. What was your motivation for writing it and who is the target audience? – Tobias Can you tell us about your experience with starting the PyLadies group in Bangalore? What were some of the biggest challenges that you encountered and how have you approached the task of growing awareness and membership of the group? – Tobias You recently started teaching Python at the Indian Institute of Science. What kinds of subject matter do you cover in your lessons? – Tobias What is it about Python and its community that has inspired you to dedicate so much of your time to contributing back to it? – Tobias In what ways would you like to see the Python ecosystem improve? – Tobias You were voted in as a director of the Python Software Foundation in the most recent election. Can you share what responsibilities that entails? – Tobias What would you like to achieve with your time in the PSF? – Tobias Keep In Touch PyLadies Bangalore Meetup Blog Email Twitter Picks Tobias Fluentd Annapoornina The Lord of The Rings by J.R.R. Tolkien Storks Food Street The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Location is an increasingly relevant aspect of software systems as we have more internet connected devices with GPS capabilities. GIS (Geographic Information Systems) are used for processing and analyzing this data, and fortunately Python has a suite of libraries to facilitate these endeavors. This week Sean Gillies, an author and contributor of many of these tools, shares the story of his career and contributions, and the work that he is doing at MapBox. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey Today I’m interviewing Sean Gillies about writing Geographic Information Systems in Python. Interview with Sean Gillies Introductions How did you get introduced to Python? Can you start by describing what Geographic Information Systems are and what kinds of projects might take advantage of them? How did you first get involved in the area of GIS and location-based computation? What was the state of the Python ecosystem like for writing these kinds of applications? You have created and contributed to a number of the canonical tools for building GIS systems in Python. Can you list at least some of them and describe how they fit together for different applications? What are some of the unique challenges associated with trying to model geographical features in a manner that allows for effective computation? How does the complexity of modeling and computation scale with increasing land area? Mapping and cartography have an incredibly long history with an ever-evolving set of tools. What does our digital age bring to this time-honored discipline that was previously impossible or impractical? To build accurate and effective representations of our physical world there are a number of domains involved, such as geometry and geography. What advice do you have for someone who is interested in getting started in this particular niche? What level of expertise would you advise for someone who simply wants to add some location-aware features to their application? I know that you joined Mapbox a little while ago. Which parts of their stack are written in Python? What are the areas where Python still falls short and which languages or tools do you turn to in those cases? Keep In Touch Email Twitter Picks Tobias Roku Streaming Stick Sean The Tacopedia Stromae Links GDAL SWIG QGIS Shapefiles Shapely Fiona Raster File GEOS Rasterio PostGIS RTree GeoPandas GeoJSON Orthorectification Mapbox SCONS Mapnik The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary K Lars Lohn has had a long and varied career, spending his most recent years at Mozilla. This week he shares some of his stories about getting involved with Python, his work with Mozilla, and his inspiration for the closing keynote at PyCon US 2016. He also elaborates on the intricate mazes that he draws and his life as an organic farmer in Oregon. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We also have a new sponsor this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey Today we’re interviewing K Lars Lohn about his career, his art, and his work with Mozilla Interview with K Lars Lohn Introductions How did you get introduced to Python? You have an interesting pair of articles on your website that attempt to detail how you perceive code and why you think that formatting should be configured in a manner analogous to CSS. Can you explain a bit about how your particular perception affects the way that you program? On your website you have some images of incredibly detailed artwork that are actually mazes. Can you describe some of your creation process for those? What is it about mazes that keeps you interested in them and how did you first start using them as a form of visual art? At Mozilla you have helped to create a project called Socorro which utilizes complexity analysis for correlating stacktraces. How did you conceive of that approach to error monitoring? Can you describe how Socorro is architected and how it works under the covers? At this year’s PyCon US you presented the closing keynote and it was one of the most engaging talks that I’ve seen. Where did you get the inspiration for the content and the mixed media approach? For anyone who hasn’t seen it, you managed to weave together a very personal story with a musical performance, and some applications of complexity analysis into a seamless experience. How much did you have to practice before you felt comfortable delivering that in front of an audience? In addition to your technical career you are also very focused on living in a manner that is sustainable and in tune with your environment. What kinds of synergies and conflicts exist between your professional and personal philosophies? Keep In Touch Website Twitter Picks Tobias Terry Pratchett Lars Bach’s Tocatta & Fugue in D Minor Links Functional Geekery Episode 65 – Morten Kromberg talks about APL K Lars Lohn’s Portfolio The Well Tempered API Temple Grandin The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary One of the great strengths of the Python community is the diversity of backgrounds that our practitioners come from. This week Lorena Mesa talks about how her focus on political science and civic engagement led her to a career in software engineering and data analysis. In addition to her professional career she founded the Chicago chapter of PyLadies, helps teach women and kids how to program, and was voted onto the board of the PSF. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. Check out our sponsor Linode for running your awesome new Python apps. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project You want to make sure your apps are error-free so give our other sponsor, Rollbar, a look. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. By leaving a review on iTunes, or Google Play Music it becomes easier for other people to find us. Join our community! Visit discourse.pythonpodcast.com to help us grow and connect our wonderful audience. Your host as usual is Tobias Macey Today we’re interviewing Lorena Mesa about what inspires her in her work as a software engineer and data analyst. Interview with Lorena Mesa Introductions How did you get introduced to Python? How did your original interests in political science and community outreach lead to your current role as a software engineer? You dedicate a lot of your time to organizations that help teach programming to women and kids. What are some of the most meaningful experiences that you have been able to facilitate? Can you talk a bit about your work getting the PyLadies chapter in Chicago off the ground and what the reaction has been like? Now that you are a member of the board for the PSF, what are your goals in that position? What is it about software development that made you want to change your career path? What are some of the most interesting projects that you have worked on, whether for your employer or for fun? Do you think that the bootcamp you attended did a good job of preparing you for a position in industry? What is your view on the concept that software development is the modern form of literacy? Do you think that everyone should learn how to program? Keep In Touch Twitter Picks Tobias Zencastr Lorena Weapons of Math Destruction What I Talk About When I talk About Running Links idealist.org Schemas For The Real World The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Podcasts are becoming more popular now than they ever have been. Podbuzzz is a service for helping podcasters to track their reviews and imporove SEO to reach a wider audience. In this episode we spoke with Kyle Martin about his experience using Python to build Podbuzzz and manage it in production. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. You need a place to run your awesome new Python apps, so check out our sponsor Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project. You want to make sure your apps are error-free so give our next sponsor, Rollbar, a look. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. By leaving a review on iTunes, or Google Play Music it becomes easier for other people to find us. Join our community! Visit discourse.pythonpodcast.com to help us grow and connect our wonderful audience. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Kyle Martin about Podbuzzz Interview with Kyle Martin Introductions How did you get introduced to Python? – Chris Can you start by explaining what Podbuzz is? – Tobias Why did you end up choosing Python as the language for building thx#is service? – Tobias What have been the biggest engineering challenges in building Podbuzzz? – Tobias How did you conceive of the idea to build Podbuzzz and what inspired you to provide it as a service? – Tobias Part of the service that you are building is a widget that encourages listeners to rate a podcast on iTunes. Why is that important and what are some of the techniques that you have leveraged to determine the most effective messaging? – Tobias What are some of the features that you plan on adding to your service? – Tobias Do you intend to run Podbuzzz as a side project or do you envision it becoming a company with its own staff? – Tobias In addition to your work with Podbuzzz as a way for podcasters to gain visibility for their shows, you’re also working on an analytics platform for the same target audience. Can you explain a bit about that and the problems that you’ve had to overcome? – Tobias What is it about podcasting that makes it hard to gain useful metrics and what is your strategy for overcoming some of those obstacles? – Tobias Keep In Touch Twitter Email Picks Tobias Thank You Scientist Chris Hell or High Water Kyle Udacity Self-Driving Car Engineering Nanodegree Startups For The Rest of Us Zero To Scale Speechmatics Links Canva Internet Business Mastery Podcast The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary We’re delving into the complex workings of your mind this week on Podcast.init with Jonathan Peirce. He tells us about how he started the PsychoPy project and how it has grown in utility and popularity over the years. We discussed the ways that it has been put to use in myriad psychological experiments, the inner workings of how to design and execute those experiments, and what is in store for its future. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. Hired is sponsoring us this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus. Once you land a job you can check out our other sponsor Linode for running your awesome new Python apps. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project You want to make sure your apps are error-free so give our last sponsor, Rollbar, a look. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. By leaving a review on iTunes, or Google Play Music it becomes easier for other people to find us. Join our community! Visit discourse.pythonpodcast.com to help us grow and connect our wonderful audience. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Jonathan Peirce about PsychoPy, an open source application for the presentation and collection of stimuli for psychological experimentation Interview with Jonathan Peirce Introductions How did you get introduced to Python? – Chris Can you start by telling us what PsychoPy is and how the project got started? – Tobias How does PsychoPy compare feature wise against some of the proprietary alternatives? – Chris In the documentation you mention that this project is useful for the fields of psychophysics, cognitive neuroscience and experimental psychology. Can you provide some insight into how those disciplines differ and what constitutes an experiment? – Tobias Do you find that your users who have no previous formal programming training come up to speed with PsychoPy quickly? What are some of the challenges there? -Chris Can you describe the internal architecture of PsychoPy and how you approached the design? – Tobias How easy is it to extend PsychoPy with new types of stimulus? – Chris What are some interesting challenges you faced when implementing PsychoPy? – Chris I noticed that you support a number of output data formats, including pickle. What are some of the most popular analysis tools for users of PsychoPy? – Tobias Have you investigated the use of the new Feather library? – Tobias How is data input typically managed? Does PsychoPy support automated readings from test equipment or is that the responsibility of those conducting the experiment? – Tobias What are some of the most interesting experiments that you are aware of having been conducted using PsychoPy? – Chris While reading the docs I found the page describing the integration with the OSF (Open Science Framework) for sharing and validating an experiment and the collected data with other members of the field. Can you explain why that is beneficial to the researchers and compare it with other options such as GitHub for use within the sciences? – Tobias Do you have a roadmap of features that you would like to add to PsychoPy or is it largely driven by contributions from practitioners who are extending it to suit their needs? – Tobias Keep In Touch PsychoPy Discourse Forum Picks Tobias Hackers: Heroes of the Computer Revolution by Steven Levy Chris Castro 2 Jon Discourse Links Feather Pyglet HDF5 Open Science Framework The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Sandstorm.io is an innovative platform that aims to make self-hosting applications easier and more maintainable for the average individual. This week we spoke with Asheesh Laroia about why running your own services is desirable, how they have made security a first priority, how Sandstorm is architected, and what the installation process looks like. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Rollbar. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Hired has also returned as a sponsor this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would also like to mention that the organizers of PyCon Zimbabwe are looking to the global Python community for help in supporting their event. If you would like to donate the link will be in the show notes. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Asheesh Laroia about Sandstorm.io, a project that is trying to make self-hosted applications easy and secure for everyone. Interview with Asheesh Laroia Introductions How did you get introduced to Python? – Tobias Can you start by telling everyone about the Sandstorm project and how you got involved with it? – Tobias What are some of the reasons that an individual would want to self-host their own applications rather than using comparable services available through third parties? – Tobias How does Sandstorm try to make the experience of hosting these various applications simple and enjoyable for the broadest variety of people? – Tobias What does the system architecture for Sandstorm look like? – Tobias I notice that Sandstorm requires a very recent Linux kernel version. What motivated that choice and how does it affect adoption? – Chris One of the notable aspects of Sandstorm is the security model that it uses. Can you explain the capability-based authorization model and how it enables Sandstorm to ensure privacy for your users? – Tobias What are some of the most difficult challenges facing you in terms of software architecture and design? – Tobias What is involved in setting up your own server to run Sandstorm and what kinds of resources are required for different use cases? – Tobias You have a number of different applications available for users to install. What is involved in making a project compatible with the Sandstorm runtime environment? Are there any limitations in terms of languages or application architecture for people who are targeting your platform? – Tobias How much of Sandstorm is written in Python and what other languages does it use? – Tobias Keep In Touch Twitter Blog Email Picks Tobias OpsGenie Chris Viking Godfather Safety Razor Who Killed Sherlock Holmes? by Paul Cornell Petrus Aged Red Asheesh Amtrak The Master Switch by Tim Wu Rocket Chat Links North Star Post Contact Otter Hacker Slides Permanote Radicale Media Goblin IPython Notebook The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Open source has proven its value in many ways over the years. In many companies that value is purely in terms of consuming available projects and platforms. In this episode Zalando describes their recent move to creating and releasing a number of their internal projects as open source and how that has benefited their business. We also discussed how they are leveraging Python and a couple of the libraries that they have published. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project Rollbar is also sponsoring us this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Hired has also returned as a sponsor this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Jie Bao and João Santos about their use of Python at Zalando Interview with Zalando Introductions How did you get introduced to Python? – Tobias Can you start by telling us a bit about what Zalando does and some of the technologies that you use? – Tobias What role does Python play in your environment? – Tobias Is the use of Python for a particular project governed by any particular operational guidelines or is it largely a matter of developer choice? – Tobias Given that you have such a variety of platforms to support, how do you architect your systems to keep them easy to maintain and reason about? – Tobias One of the projects that you have open sourced is Connexion. Can you explain a bit about what that is and what it is used for at Zalando? – Tobias What made you choose to standardize on Swagger/OpenAPI vs RAML or some of the other API standards? – Tobias Did Connexion start its life as open source or was it extracted from another project? – Tobias ExpAn is another one of your projects that is written in Python. What do you use that for? – Tobias Can you describe the internal implementation of ExpAn and what it takes to get it set up? – Tobias Given the potential complexity of and the need for statistical significance in the data for proper A/B testing, how did you design ExpAn to satisfy those requirements? – Tobias Given the laws in Germany around digital privacy, were there any special considerations that needed to be made in the collection strategy for the data that gets used in ExpAn? – Tobias Keep In Touch João Twitter Jie Twitter Laurie Twitter Picks Tobias Hacker’s Keyboard Jie Shah of Shahs by Ryszard Kapuściński João Serendipity Laurie Flow) The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Alex Martelli has dedicated a large part of his career to teaching others how to work with software. He has the highest number of Python questions answered on Stack Overflow, he has written and co-written a number of books on Python, and presented innumerable times at conferences in multiple countries. We spoke to him about how he got started in software, his work with Google, and the trends in development and design patterns that are shaping modern software engineering. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We also have a returning sponsor this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Hired is sponsoring us this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers. Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Alex Martelli Interview with Alex Martelli Introductions How did you get introduced to Python? – Chris You have achieved a number of honors and recognitions throughout your career for significant technical achievements. What kind of learning strategies do you use to enable you to achieve mastery of technical topics? – Tobias How do you keep the Python In A Nutshell book current as aspects of the core language and its libraries change? – Chris You are known for your prolific contributions to Stack Overflow, particularly on topics pertaining to Python. Was that a specific goal that you had set for yourself or did it happen organically? – Tobias When answering Stack Overflow questions, do you usually already know the answers or do you treat it as a learning opportunity? – Tobias What are some of the most difficult Python questions that you have been faced with? – Tobias You have presented quite a number of times at various Python conferences. What are some of your favorite talks? – Tobias Design patterns and idiomatic code are common themes in a number of your presentations. Why is it important for developers to understand these concepts and what are some of your favorite resources on the topic? – Tobias What do you see as the most influential trends in software development and design, both currently and heading into the future? – Tobias As a long-time computer engineer, are there any features or ideas from other languages that you would like to see incorporated into Python? Picks Tobias The Great Gatsby Movie Chris Stone Ruination Double IPA Ghost Soldiers Alex Alexander Hamilton by Ron Chernow Hamilton Musical Links Permission or Forgiveness Good enough is good enough Modern Python Patterns and Idioms Handling Errors and Exceptions in Modern Python Microservices Google SRE Book Python In A Nutshell use code AUTHD for a discount The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Dave Beazley has been using and teaching Python since the early days of the language. He has also been instrumental in spreading the gospel of asynchronous programming and the many ways that it can improve the performance of your programs. This week I had the pleasure of speaking with him about his history with the language and some of his favorite presentations and projects. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit! Hired has also returned as a sponsor this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Dave Beazley about his career with Python Interview with Dave Beazley Introductions How did you get introduced to Python? – Tobias How has Python and its community helped to shape your career? – Tobias What are some of the major themes that you have focused on in your work? – Tobias One of the things that you are known for is doing live-coding presentations, many of which are fairly advanced. What is it about that format that appeals to you? – Tobias What are some of your favorite stories about a presentation that didn’t quite go as planned? – Tobias You have given a large number of talks at various conferences. What are some of your favorites? – Tobias What impact do you think that asynchronous programming will have on the future of the Python language and ecosystem? – Tobias Are there any features that you see in other languages that you would like to have incorporated in Python? – Tobias On the about page for your website you talk about some of the low-level code and hardware knowledge that you picked up by working with computers as a kid. Do you think that people who are getting started with programming now are missing out by not getting exposed to the kinds of hardware and software that was present before computing became mainstream? You have had the opportunity to work on a large variety of projects, both on a hobby and professional level. What are some of your favorites? – Tobias What is it about Python that has managed to hold your interest for so many years? – Tobias Keep In Touch Twitter Picks Tobias Criminal Dave Samuel Beckett Plays Links Python Concurrency From The Ground Up XKCD compiling Clifford Stoll Superboard talk Curio PyOhio async talk The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Being able to understand the context of a piece of text is generally thought to be the domain of human intelligence. However, topic modeling and semantic analysis can be used to allow a computer to determine whether different messages and articles are about the same thing. This week we spoke with Radim Řehůřek about his work on GenSim, which is a Python library for performing unsupervised analysis of unstructured text and applying machine learning models to the problem of natural language understanding. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit on your account. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Radim Řehůřek about Gensim, a library for topic modeling and semantic analysis of natural language. Interview with Radim Řehůřek Introductions How did you get introduced to Python? – Chris Can you start by giving us an explanation of topic modeling and semantic analysis? – Tobias What is Gensim and what inspired you to create it? – Tobias What facilities does Gensim provide to simplify the work of this kind of language analysis? – Tobias Can you describe the features that set it apart from other projects such as the NLTK or Spacy? – Tobias What are some of the practical applications that Gensim can be used for? – Tobias One of the features that stuck out to me is the fact that Gensim can process corpora on disk that would be too large to fit into memory. Can you explain some of the algorithmic work that was necessary to allow for this streaming process to be possible? – Tobias Given that it can handle streams of data, could it also be used in the context of something like Spark? – Tobias Gensim also supports unsupervised model building. What kinds of limitations does this have and when would you need a human in the loop? – Tobias Once a model has been trained, how does it get saved and reloaded for subsequent use? – Tobias What are some of the more unorthodox or interesting uses people have put Gensim to that you’ve heard about? – Chris In addition to your work on Gensim, and partly due to its popularity, you have started a consultancy for customers who are interested in improving their data analysis capabilities. How does that feed back into Gensim? – Tobias Are there any improvements in Gensim or other libraries that you have made available as a result of issues that have come up during client engagements? – Tobias Is it difficult to find contributors to Gensim because of its advanced nature? – Tobias Are there any resources you’d like to recommend our listeners explore to get a more in depth understanding of topic modeling and related techniques? – Chris Keep In Touch RaRe Technologies Twitter Email Github Mailing List Picks Tobias Dark Matter and the Dinosaurs by Lisa Randall Chris m-cli Radim 1177 BC: The Year Civilization Collapsed Links Nadia Eghbal Gensim SQL Addict NLTK Spacy Latent Dirichlet Allocation (LDA) LSI Keynote in Italy on distributed processing Google Scholar references for Gensim Stylometric analysis On Writing Well Student Incubator Wikipedia on topic modeling The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary In order for Python to continue to attract new users, we need to have an easy way for people to get started with it, and Windows is still the most widely used operating system among computers. Steve Dower is the build maintainer for the Windows installers of Python and this week we spoke with him about his work in that role. He told us about the changes that he has made to the installer to make it easier for new users to get started and how modern updates to the packaging ecosystem for libraries has simplified dependency management. He also told us about how the Visual Studio team is building a set of tools to make development of Python code more enjoyable and how Microsoft’s adoption of open source is making Windows a more attractive platform for developers. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit on your account! Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Steve Dower about Python on Windows Interview with Steve Dower Introductions How did you get introduced to Python? – Chris You are currently the release manager for Python on Windows. How did you end up with that responsibility? – Tobias While Python has supported Windows for a long time, the overall experience has historically been rather poor. Can you give a bit of the background of why that was and tell us about some of the work that you and others have been doing to make it better? – Tobias Given that a large percentage of users are still on Windows, having a good story for getting started with Python on that platform is important for adoption of the language. What are some of the areas where the current situation needs to be improved? – Tobias What is the most difficult part of building a distribution of Python for a Windows environment? Has it gotten easier in recent years? – Tobias When we were speaking at PyCon you mentioned that the most frequently downloaded version of Python from the python.org site is the 32 bit version for Windows. Do you think that is an accurate and useful metric? What other statistics do you wish you could capture or improve? – Tobias How does Python Tools for Visual Studio compare with other Python IDEs like Pycharm? – Chris What are some unique features that Python Tools for Visual Studio offers that other tools don’t? – Chris Are there any compelling aspects of developing Python on Windows that could convince users on other platforms to make the switch? – Tobias Could you give our listeners a whirlwind tour of the underlying implementation of PTVS? How does Visual Studio provide such in depth introspection for your Python code? – Chris Keep In Touch Twitter Github Microsoft Azure steve.dower Picks Tobias Kdiff3 SpyderCo Triangle Sharpmaker Chris Audible Steve Sandisk Extreme Portable SSD SMBC Random Encounters Links Windows compilers Visual C++ Build Tools (for Python 3.5 and later) Visual C++ Compiler for Python 2.7 PEP 514 The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Aside from the national Python conferences such as PyCon US and EuroPyCon there are a number of regional conferences that operate at a smaller scale to service their local communities. This week we interviewed Peter McCormick and Francis Deslauriers about their work organizing PyCon Canada to provide a venue for Canadians to talk about how they are using the language. If you happen to be near Toronto in November then you should get a ticket and help contribute to their success! Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit! Hired has also returned as a sponsor this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Peter McCormick and Francis Deslauriers about their experiences organizing PyCon Canada Interview with Peter McCormick and Francis Deslauriers Introductions How did you get introduced to Python? – Chris How did you get involved as an organizer of PyCon Canada? – Tobias How does PyCon Canada, and other regional conferences, differ from PyCon US, both in terms of scale and overall experience? – Tobias How do the audience and presenters differ from the US conferences? Is there perhaps a differen mix of industry versus academia, or maybe different disciplines? Chris Are you thinking of trying to hold the conference in different cities across Canada, similarly to how PyCon US moves venues every two years? – Tobias In addition to the national and regional conferences, there are a number of special interest Python conferences that take place (e.g. SciPy, PyData, etc.). What kind of relationship do you have with organizers of those events and how do they impact the kinds of talk submissions that you are likely to receive? – Tobias There has been a lot of focus in recent years on trying to increase the diversity of conference speakers. What are some of the methods that you have used to encourage speakers of various backgrounds to submit talks? – Tobias Organizing a conference involves a lot of moving parts. How do you structure the process to ensure a safe and enjoyable experience for the attendees? – Tobias What are some of the biggest logistical challenges you face as conference organizers? – Chris Given that PyCon Canada is a regional conference, how has that affected your focus in terms of marketing and the general theme? – Tobias Tell our listeners about your favorite PyCon Canada moments. – Chris What has been the most surprising part of organizing the conference? – Tobias Keep In Touch PyCon Canada Twitter Website Email for sponsorship enquiries Peter Email Twitter Website Francis Email Twitter Picks Tobias Juice SSH Chris Chinese Man Stiletto Amazon Echo Peter DjangoCon US documentation Francis Spam Nation Links PSF Calendar of Events Symposion The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary We all know that testing is an important part of software and systems development. The problem is that as our systems and applications grow, the amount of testing necessary increases at an exponential rate. Cris Medina joins us this week to talk about some of the problems and approaches associated with testing these complex systems and some of the ways that Python can help. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com Hired has also returned as a sponsor this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus. The O’Reilly Velocity conference is coming to New York this September and we have a free ticket to give away. If you would like the chance to win it then just sign up for our newsletter at pythonpodcast.com To help other people find the show you can leave a review on iTunes, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Cris Medina about test engineering for large and complex systems. Interview with Cris Medina Introductions How did you get introduced to Python? – Chris To get us started can you share your definition of test engineering and how it differs from the types of testing that your average developer is used to? – Tobias What are some common industries or situations where this kind of test engineering becomes necessary? – Tobias How and where does Python fit into the kind of testing that becomes necessary when dealing with these complex systems? – Tobias How do you determine which areas of a system to test and how can Python help in that discovery process? – Tobias What are some of your favorite tools and libraries for this kind of work? – Tobias What are some of the areas where the existing Python tooling falls short? – Tobias Given the breadth of concerns that are encompassed with testing the various components of these large systems, what are some ways that a test engineer can get a high-level view of the overall state? – Tobias How can that information be distilled for presentation to other areas of the business? – Tobias Could that information be used to provide a compelling business case for the resources required to test properly? – Chris Given the low-level nature of this kind of work I imagine that proper visibility of the work being done can be difficult. How do you make sure that management can properly see and appreciate your efforts? – Tobias Keep In Touch Twitter Picks Tobias Samsung Galaxy Tab S2 Anker SoundCore Bluetooth Speaker Chris On Writing Well This Episode Was Written by an AI The Three Rs Cris CherryPy Etcd Thinking Fast And Slow by Daniel Kahneman Spain Links Behave Pytest BDD Hypothesis Episode XX – Hypothesis Flask CherryPy Django Pandas NumPy Celery Bokeh Vincent Toga D3 Sunburst D3 Chord Diagrams The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary The same week that we released our first episode of Podcast.__init__, Michael Kennedy was publishing the very first episode of Talk Python To Me. The years long drought of podcasts about Python has been quenched with a veritable flood of quality content as we have both continued to deliver the stories of the wonderful people who make our community such a wonderful place. This week we interviewed Michael about what inspired him to get started, his process and experience as Talk Python continues to evolve, and how that has led him to create online training courses alongside the podcast. He also interviewed us, so check out this weeks episode of Talk Python To Me for a mirror image of this show! Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Michael Kennedy about his work with Talk Python to Me, another podcast about Python and its community, and on-demand Python trainings. Michael has also offered to give away one of each of his Python courses to our listeners. If you would like the chance to win, then sign up for our newsletter at pythonpodcast.com, or our forum at discourse.pythonpodcast.com. If you want to double your chances, then sign up for both! Interview with Michael Kennedy Introductions How did you get into programming? How did you get introduced to Python? (Chris) What is the craziest piece of software you’ve ever written? – Tobias You’ve taken some pretty drastic steps around Python and your career lately. What inspired you to do that and how’s it going?(yes, quit my job, focus only on podcast and online courses). You are basically self-taught as a developer, how did you get into this teaching / mentor role? Why did you first get started with Talk Python to Me? – Tobias Did you know when you started that it would turn into a full-time endeavor? – Tobias For a while there weren’t any podcasts available that focused on Python and now we’re each producing one. What’s it like to run a successful podcast? – Tobias What have been your most popular episodes? Tell us a bit about each – Tobias In your excellent episode with Kate Heddleston you talked about how we tend to bash other programming languages. We’ve done a fair bit of Java bashing here. How can we help get ourselves and others in our community out of this bad habit? – Chris How do you select the guests and topics for your show? – Tobias What topics do you have planned for the next few episodes? How do you prepare the questions for each episode? – Tobias What is the most significant thing you’ve learned from the podcasting experience? What do you wish you did differently and how are you looking to improve? – Tobias I had a great time hanging out with you at PyCon this year. What was your impression of the conference? What were your favorite sessions and do you have any shows scheduled to follow up on them? – Tobias Your sites are 100% “hand-crafted” as they say. Can you give us a look inside? What are the moving parts in there? So you stirred things up with Stitcher this week. What’s up with that? Can you recommend some podcasts? What’s in your playlist? Final call to action? Keep In Touch Twitter Podcast Web Github Picks Tobias Batman v Superman: Dawn of Justice Lego Brickumentary Hashicorp Consul Chris Yarn Apple Magic Mouse 2 Remembering Stonewall Michael PyPI passlib Python 2016 Youtube Channel K Lars Lohn – Closing Keynote Links Thinking Fast and Slow by Daniel Kahneman Trello Recommended podcasts: Test and Code Podcast Partially Derivative Exponent Podcast Mixergy Startup Podcast (season 1 & 2) Away from the keyboard Developer On Fire Michael’s courses: Python Jumpstart by Building 10 Apps Write Pythonic Code Like a Seasoned Developer The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Everyone loves to imagine what they would do if they had their own robot. This week we spoke with Gunther Cox and Kevin Brown about their work on Zorg, which is a Python library for building a robot of your own! We discussed how the project got started, what platforms it supports, and some of the projects that have been built with it. Give it a listen and then get building! Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey Today we’re interviewing Gunther Cox and Kevin Brown about Zorg, a Python framework for robotics and physical computing Interview with Gunther Cox and Kevin Brown Introductions How did you get introduced to Python? – Tobias What is Zorg and what is its origin story? – Tobias How would you define and differentiate the concepts of robotics, physical computing, and the internet of things? – Tobias I noticed in the documentation that Zorg is based on the Cylon.js project. How closely does the implementation of Zorg stick to that of Cylon and how much needs to be changed due to differences in the language? – Tobias Is Zorg useful for production applications or is it primarily intended for educational purposes and hobby projects? – Tobias Zorg currently only supports the Intel Edison, with plans for Raspberry Pi and Arduino Firmata support in the works. What is involved in adding compatibility with other platforms? – Tobias What are some of the most interesting projects that you have seen created using Zorg? – Tobias How does Zorg compare to other Python robotics projects such as ROSPy? – Tobias Robotics is a large and complex problem space. What are some of the other features and projects in Python that are often used when building robots? – Tobias Keep In Touch GitHub Newsletter Picks Tobias Padlock Password Manager Vault Gunther Robot Builder’s Bonanza Kevin Facial Recognition with OpenCV in Python Links RS232 The Hybrid Group Gobot Artoo Cylon.js Salvius ROSPy The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary As Python developers we are fond of the dynamic nature of the language. Sometimes, though, it can get a bit too dynamic and that’s where having some type information would come in handy. Mypy is a project that aims to add that missing level of detail to function and variable definitions so that you don’t have to go hunting 5 levels deep in the stack to understand what shape that data structure is supposed to be. This week we spoke with David Fisher and Greg Price about their work on Mypy and its use within Dropbox and the broader community. They explained how it got started, how it works under the covers, and why you should consider adding it to your projects. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing David Fisher and Greg Price about Mypy, a library for adding optional static types to your Python code. es Interview with David Fisher and Greg Price Introductions How did you get introduced to Python? – Chris Can you explain a bit about what Mypy is and its origin story? – Tobias What are the benefits of using Mypy for both new and existing projects? – Tobias How does the Mypy compilation step work? – Tobias What are the biggest technical challenges in implementing Mypy? – Chris Are there any limitations imposed by the syntax of Python that prevented you from implementing any features or syntax that you would have liked to include in Mypy? – Tobias In Guido’s keynote from this year’s PyCon he mentioned some tentative plans for adding variable type declarations to the Python syntax in one of the next major releases. How much of that idea was inspired by Mypy? – Tobias Type theory is a large and complex problem domain. Can you explain where Mypy falls in this space? – Tobias Which language(s) had the biggest influence on the particular syntax and semantics used in Mypy? – Tobias What kinds of type definitions and guarantees can be encoded using Mypy? – Tobias Can you talk a bit about user defined types as implemented in Mypy? – Chris How has the inclusion of the typing module in the Python standard libary influenced the evolution of Mypy? – Tobias Did the inclusion of multiple inheritance add any implementation complexity to Mypy? – Chris Do you know of any formal studies that have been performed to research the ergonomics or efficiency gains of static or gradual type systems? – Tobias What does the future roadmap for Mypy look like? – Tobias Keep In Touch David GitHub Greg web page GitHub $ pip3 install mypy-lang Bug reports, feature requests, questions welcome on issue tracker: github.com/python/mypy Picks Tobias Functional Geekery – Andreas Stefik episode about studies performed on the human factors of development Soft Skills Engineering Podcast Chris Grimm Artisenal Ales Lucky Cloud jq – json swiss army knife David fzf – a fuzzy finder Thinking, Fast And Slow by Daniel Kahneman Ringworld Greg On Proof and Progress in Mathematics, essay by Bill Thurston Axiomatic by Greg Egan Links GitHub repo, and CONTRIBUTING file PEP 484 PyCon 2016 workshop slides Typeshed shared repo for stubs Other tools (PyCharm, pylint, pytype, …) using PEP 484 types The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary When you have good tools it makes the work you do even more enjoyable. Russel Keith-Magee has been building up a set of tools that are aiming to let you write graphical interfaces in Python and run them across all of your target platforms. Most recently he has been working on a capstone project called Toga that targets the Android and iOS platforms with the same set of code. In this episode we explored his journey through programming and how he has built and designed the Beeware suite. Give it a listen and then try out some or all of his excellent projects! Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit to get a $50 credit! Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Russel Keith-Magee about the Beeware project, which is a collection of tools and libraries that are meant to be composed together for building up your Python development environment. Interview with Firstname Lastname Introductions How did you get introduced to Python? – Chris What is the BeeWare project and what goals do you have for it? – Tobias What kinds of projects are contained under the BeeWare umbrella and what inspired you to start creating these kinds of tools? – Tobias Did each project arise from a particular need that you had at the time or has there been a logical progression from one tool to the next? – Tobias At PyCon US of this year (2016) you made a presentation about the work that you have been doing to bring Python to the iOS and Android platforms. Can you provide a high-level overview for anyone who hasn’t seen that talk yet? – Tobias Let’s talk about Toga – how does Toga differ from some of the other cross platform UI framework efforts for various languages like Kivy or Shoes? – Chris What are some of the biggest challenges that you had to overcome in order to get Python to run on both iOS and Android? – Tobias How does runtime performance for applications written in Python compare with the same program running in the languages that are natively supported on those platforms? – Tobias Can you walk us through the low level flow of a single toga API request? – Chris Do you view your work on Toga and the associated libraries as a hobby project or do you think that it will turn into a production ready tool set that people will use for shipping applications? – Tobias IDEs like Android Studio and XCode have a lot of features that simplify the development and UI creation process. Do you have to forego those niceties when developing a mobile app in Python? – Tobias Shipping Python applications is a problem that tends to pose a host of issues for people, which you are addressing with the Briefcase project. What are some of the biggest hurdles and design choices that you have encountered while working on that? – Tobias Do you think that there will ever be a release of iOS or Android, or even a brand new mobile platform, that will ship with native Python support? – Tobias Keep In Touch Twitter Website GitHub Picks Tobias Japanese cast iron tea set Chris Bantam Cider Pythonista 3 Russell MHPrompt Open Sourcing Mental Illness Blue Hackers Beyond Blue Black Dog institute Mental Health.gov Links A Tale of Two Cellphones Python interpreter in 500 lines of code The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Armin Ronacher is a prolific contributor to the Python software ecosystem, creating such widely used projects as Flask and Jinja2. This week we got the opportunity to talk to him about how he got his start with Python and what has inspired him to create the various tools that have made our lives easier. We also discussed his experiences working in Rust and how it can interface with Python. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Armin Ronacher about his contributions to the Python community. Interview with Armin Ronacher Introductions How did you get introduced to Python? – Chris What was the first open source project that you created in Python? – Tobias What is your view of the responsibility for open source project maintainers and how do you manage a smooth handoff for projects that you no longer wish to be involved in? – Tobias You have created a large number of successful open source libraries and tools during your career. What are some of the projects that may be less well known that you think people might find interesting? – Tobias (e.g. logbook) I notice that you recently worked on the pipsi project. Please tell us about it! – Chris Following on from the last question, where would you like to see the Python packaging infrastructure go in the future? – Chris You have had some strong opinions of Python 2 vs Python 3. How has your position on that subject changed over time? – Tobias Let’s talk about Lektor – what differentiates it from the pack, and what keeps you coming back to CMS projects? – Chris How has your blogging contributed to the work that you do and the success you have achieved? – Tobias Lately you have been doing a fair amount of work with Rust. What was your reasoning for learning that language and how has it influenced your work with Python? – Tobias In addition to the code you have written, you also helped to form the Pocoo organization. Can you explain what Pocoo is and what it does? What has inspired the rebranding to the Pallets project? – Tobias Keep In Touch Twitter Picks Tobias Radical Candor Chris Loverbeer BeerBrugna The Human Resource Machine Armin Biermanufaktur Loncium Matakustix – Hai Hai Haibodn Links PHPbb Pocoo Pallets Project The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Summary Making sure that your code is secure is a difficult task. In this episode we spoke to Eric Brown, Travis McPeak, and Tim Kelsey about their work on the Bandit library, which is a static analysis engine to help you find potential vulnerabilities before your application reaches production. We discussed how it works, how to make it fit your use case, and why it was created. Give the show a listen and then go start scanning your projects! Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project. And they just doubled the RAM for their introductory level servers, so that $20 will get you even more performance. We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit! Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Tim Kelsey and Eric Brown about Bandit which is a static analysis engine for finding security vulnerabilities in your Python code. Interview with Eric Brown, Travis McPeak and Tim Kelsey Introductions How did you get introduced to Python? – Chris What is Bandit and what was the inspiration for creating it? – Tobias How did you each get involved with the Bandit project? – Tobias At what stage of the development process would you want to use Bandit? – Tobias What kinds of analysis does Bandit do on the source code that it is run against? – Tobias How does it determine whether a particular segment of code is introducing a vulnerability and what means does it use to determine the severity? – Tobias What does the generated report include and what can be done with that information? – Tobias What are some of the biggest design and implementation difficulties that have been encountered in the process of creating Bandit? – Tobias How does bandit compare to similar tools in other languages such as Ruby’s BrakeMan? – Tobias What are some of the most interesting extensions that you have seen for Bandit? – Tobias What is on the roadmap for the future of Bandit? – Tobias Keep In Touch OpenStack Security IRC OpenStack Security Weekly Meeting Tim Twitter Travis Twitter Picks Tobias Toggl Listener Review of Toggl Any.do Tim IFTTT (If This Then That) Eric Slack Travis Brilliance Trilogy Uncharted 4 Risky Business Podcast The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary As developers we all have to deal with bugs sometimes, but we don’t have to make our users deal with them too. Sentry is a project that automatically detects errors in your applications and surfaces the necessary information to help you fix them quickly. In this episode we interviewed David Cramer about the history of Sentry and how he has built a team around it to provide a hosted offering of the open source project. We covered how the Sentry project got started, how it scales, and how to run a company based on open source. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show, subscribe, join our newsletter, check out the show notes, and get in touch you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit!- Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing David Cramer about Sentry which is an open source and hosted service for capturing and tracking exceptions in your applications. Interview with Firstname Lastname Introductions How did you get introduced to Python? – Chris What is Sentry and how did it get started? – Tobias What led you to choose Python for writing Sentry and would you make the same choice again? – Tobias Error reporting needs to be super light weight in order to be useful. What were some implementation challenges you faced around this issue? – Chris Why would a developer want to use a project like Sentry and what makes it stand out from other offerings? – Tobias When would someone want to use a different error tracking service? – Tobias Can you describe the architecture of the Sentry project both in terms of the software design and the infrastructure necessary to run it? – Tobias What made you choose Django versus another Python web framework, and would you choose it today? – Chris What languages and platforms does Sentry support and how does a developer integrate it into their application? – Tobias One of the big discussions in open source these days is around maintainability and a common approach is to have a hosted offering to pay the bills for keeping the project moving forward. How has your experience been with managing the open source community around the project in conjunction with providing a stable and reliable hosted service for it? – Tobias Are there any benefits to using the hosted offering beyond the fact of not having to manage the service on your own? – Tobias Have you faced any performance challenges implementing Sentry’s server side? – Chris What advice can you give to people who are trying to get the most utility out of their usage of Sentry? – Tobias What kinds of challenges have you encountered in the process of adding support for such a wide variety of languages and runtimes? – Tobias Capturing the context of an error can be immensely useful in finding and solving it effectively. Can you describe the facilities in Sentry and Raven that assist developers in providing that information? – Tobias It’s challenging to create an effective method for aggregating incoming issues so that they are sufficiently visible and useful while not hiding or discarding important information. Can you explain how you do that and what the evolution of that system has been like? – Tobias I notice a lot of from future import in Sentry. Does it support Python 3 and/or what’s the plan for getting there? – Chris Looking back to the beginning of the project, what are some of the most interesting and surprising changes that have happened during its lifetime? How does it differ from its original vision? – Tobias Keep In Touch Twitter Picks Tobias BPython Chris Developer on Fire Song Exploder David React Webpack Alpine Climbing Percy.io Red Rising Trilogy The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary As developers, one of the most important tools that we use daily is our version control system. Mercurial is one such tool that is written in Python, making it eminently flexible, customizable, and incredibly powerful. This week we spoke with Augie Fackler to learn about the history, features, and future of Mercurial. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit! Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we’re interviewing Augie Fackler about the Mercurial version control system Interview with Augie Fackler Introductions How did you get introduced to Python? – Chris Can you describe what Mercurial is and how the project got started? – Tobias How did you get involved with working on Mercurial? – Tobias What are some of the features that can be found in Mercurial which are lacking in similar tools such as Git or Bazaar? – Tobias One of the common complaints with Git is that its human interface could use some work. How is Mercurial’s UX an improvement over Git? – Chris For someone who is using Mercurial to work with a Git or other VCS repository, what are some of the edge cases that they should watch out for? Are there certain operations that could be performed in Mercurial which would break that compatibility layer? – Tobias How is Mercurial architected and what are some of the design choices that allow for it to be so flexible and extensible? – Tobias One of the core goals of Mercurial is for it to be safe. Can you explain what safety means in this context and how it is architected to achieve that goal? – Tobias One of the noteworthy aspects of Mercurial is the strong focus on making extensions a first-class concern in the project, so much so that a number of the core functions are written as extensions. Can you describe why that is and how the extensions plug into the core execution engine? – Tobias What are some of the most notable extensions that are available for use with Mercurial? – Tobias For someone who is familiar with Git, what are some of the concepts that they would need to learn about in order to use Mercurial in an idiomatic way? – Tobias A large part of the reason that Git has seen such large adoption is due to the prevalence of GitHub. There is the option of using BitBucket when using Mercurial. Are there any other noteworthy Mercurial hosting options? Do you think that the dearth of open source mercurial servers is partially due to the fact that Mercurial ships with a functional server built in? – Tobias Can you share some of the most recent features that have been added to Mercurial? – Tobias What do you have planned for the future of Mercurial? – Tobias How do you think current day DVCS systems like Mercurial, Git and Darcs might evolve in the future? – Chris Keep In Touch Twitter Picks Tobias Sapiens: A Brief History of Humankind by Yuval Noah Harrari Cultures of Continuous Learning Keynote by Vanessa Hurst Chris Intro to Django Video Series Transistor Podcast Embedded Podcast Augie Leviathan Wakes Three Body Problem Prometheus Links Mercurial: The Definitive Guide Online Print Revsets Git Pickaxe Facebook Mercurial Post Remote File Log Gerrit Kallithea Reviewboard Mozilla Review Board A Case of Computational Thinking: The Subtle Effect ofHidden Dependencies on the User Experience of VersionControl The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary If you need to work with images the Pillow is the library to use. The Python Image Libary (PIL) has long been the gold standard for resizing, analyzing, and processing pictures in Python. Pillow is the modern fork that is bringing the PIL into the future so that we can all continue to use it moving forward. This week I spoke with Alex Clark about what first led him to fork the project and his experience maintaining it, including the migration to Python 3. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We also have a new sponsor this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your host as usual is Tobias Macey Today we’re interviewing Alex Clark about the Pillow project Interview with Alex Clark Introductions How did you get introduced to Python? – Tobias What were you working on that led you to forking the Python Image Library (PIL)? – Tobias What does Fredrik Lundh (author of PIL) think of Pillow? When you first forked the PIL project did you think that you would still be maintaining and updating that fork by now? – Tobias Who else works on the project with you and how did they get involved? – Tobias What kinds of special knowledge or experience have you found to be necessary for understanding and extending the routines in the library and for adding new capabilities? – Tobias Can you describe what PIL and now Pillow are and what kinds of use cases they support? – Tobias How does Pillow compare to libraries with a similar purpose such as ImageMagick? – Tobias I have seen Pillow used in computer vision contexts. What are some of the capabilities of the library that lend themselves to this purpose? – Tobias What architectural patterns does Pillow use to make image operations fast and flexible? Have you found the need to do any significant refactorings of the original code to make it compatible with modern uses and execution environments? – Tobias Have you kept up to date with newer image formats, such as webp? Are there any image formats that Pillow does not support that you would like to see added to the project? – Tobias What are some of the most interesting or innovative uses of Pillow that you have seen? – Tobias What do you have planned for the future of Pillow? – Tobias Keep In Touch Website Picks Tobias Minimalist Baker Bisect module Alex Muse – Uprising Fanstatic Links Image-SIG Random (Psychedelic) Art The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to sign up for the newsletter, explore past episodes, subscribe to the show, and help support our work. Summary If you are operating a website that needs to publish and manage content on a regular basis, a CMS (Content Management System) becomes the obvious choice for reducing your workload. There are a plethora of options available, but if you are looking for a solution that leverages the power of Python and exposes its flexibility then you should take a serious look at Wagtail. In this episode Tom Dyson explains how Wagtail came to be created, what sets it apart from other options, and when you should implement it for your projects. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We also have a new sponsor this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Tom Dyson about Wagtail, a modern and sophisticated CMS for Django. Interview with Tom Dyson Introductions How did you get introduced to Python? – Chris Can you start by explaining what a content management system is and why they are useful? – Tobias How did the Wagtail project get started and what makes it stand out from other comparable offerings? – Tobias What made you choose Django as the basis for the project as opposed to another framework or language such as Pyramid, Flask, or Rails? – Tobias What is your target user and are there any situations in which you would encourage someone to use a different CMS? – Tobias Can you explain the software design approach that was taken with Wagtail and describe the challenges that have been overcome along the way? – Tobias How did you approach the project in a way to make the CMS feel well integrated into the other apps in a given Django project so that it doesn’t feel like an afterthought? – Tobias For someone who wants to get started with using Wagtail, what does that experience look like? – Tobias What are some of the features that are unique to Wagtail? – Tobias Given that Wagtail is such a flexible tool, what are some of the gotchas that people should watch out for as they are working on a new site? – Tobias Does Wagtail have any built-in support for multi-tenancy? – Tobias Does Wagtail have a plugin system to allow developers to create extensions to the base CMS? – Tobias Having built such a sizable plugin with deep integrations to Django, what are some of the shortcomings in the framework that you would like to see improved? – Tobias Keep In Touch Twitter Site GitHub Picks Tobias Pumpkin Pie Tom Hasbean Ethiopian Coffee Hario V60 Links Royal College of Arts Simon Willison’s Blog Vagrant Willow project Django Model Cluster Divio The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary As technology professionals, we need to make sure that the software we write is reliably bug free and the best way to do that is with a continuous integration and continuous deployment pipeline. This week we spoke with Pierre Tardy about Buildbot, which is a Python framework for building and maintaining CI/CD workflows to keep our software projects on track. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show, subscribe, join our newsletter, check out the show notes, and get in touch you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Rollbar this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Pierre Tardy about the Buildbot continuous integration system. Interview with Pierre Tardy Introductions How did you get introduced to Python? – Chris For anyone who isn’t familiar with it can you explain what Buildbot is? – Tobias What was the original inspiration for creating the project? – Tobias How did you get involved in the project? – Tobias Can you describe the internal architecture of Buildbot and outline how a typical workflow would look? – Tobias There are a number of packages out on PyPI for doing subprocess invocation and control, in addition to the functions in the standard library. Which does buildbot use and why? – Chris What makes Buildbot stand out from other CI/CD options that are available today? – Tobias Scaling a large CI/CD system can become a challenge. What are some of the limiting factors in the Buildbot architecture and in what ways have you seen people work to overcome them? – Tobias Are there any design or architecture choices that you would change in the project if you were to start it over? – Tobias If you were starting from scratch on implementing buildbot today, would you still use Python? Why? – Chris What are some of the most difficult challenges that have been faced in the creation and evolution of the project? – Tobias What are some of the most notable uses of Buildbot and how do they uniquely leverage the capabilities of the framework? – Tobias What are some of the biggest challenges that people face when beginning to implement Buildbot in their architecture? – Tobias Does buildbot support the use of docker or public clouds as a part of the build process? – Chris I know that the execution engine for Buildbot is written in Twisted. What benefits does that provide and how has that influenced any efforts for providing Python 3 support? – Tobias Does buildbot support build parallelization at all? For instance splitting one very long test run up into 3 instances each running a section of tests to cut build time? – Chris What are some of the most requested features for the project and are there any that would be unreasonably difficult to implement due to the current design of the project? – Tobias Does buildbot offer a plugin system like Jenkins does, or is there some other approach it uses for custom extensions to the base buildbot functionality? – Chris Managing a reliable build pipeline can be operationally challenging. What are some of the thorniest problems for Buildbot in this regard and what are some of the mechanisms that are built in to simplify the operational characteristics? – Tobias What were some of the challenges around supporting slaves running on platforms with very different environmental characteristics like Microsoft Windows? – Chris What is on the roadmap for Buildbot? – Tobias Keep In Touch Buildbot Website GitHub Picks Tobias Viking Safety Razor Chris Lifeline Suzaku Sake Links Crossbar.io The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary One of the biggest new trends in technology is the Internet of Things and one of the driving forces is the wealth of new sensors and platforms that are being continually introduced. In this episode we spoke with the founder and head engineer of one such platform named Onion. The Omega board is a new hardware platform that runs OpenWRT and lets you configure it using a number of languages, not least of which is Python. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We are also sponsored by Rollbar this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan. Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. The Open Data Science Conference in Boston is happening on May 21st and 22nd. If you use the code EP during registration you will save 20% off of the ticket price. If you decide to attend then let us know, we’ll see you there! Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Lazar and Zheng about the Onion IoT platform Interview with Lazar and Zheng Introductions How did you get introduced to Python? – Chris What is the Onion platform and how does it leverage Python? – Tobias Can you compare and contrast the Python support you provide for Onion as compared with Raspberry Pi? – Chris I noticed that you are using the OpenWRT distribution of Linux in order to provide support for multiple languages. What was the driving intent behind choosing it and why is multiple language support so important for an IoT product? – Tobias Do you provide any libraries for using with the Omega to abstract away some of the hardware level tasks? What are some of the design considerations that were involved when developing that? – Tobias What are some of the most interesting projects you have seen people build with Python on your platform? – Tobias Keep In Touch Forum Twitter Picks Tobias Now You See Me Chris Portrait / Landscape Phone / Tablet Stand Tom Bihn Bags Lazar Ex Machina The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary More and more of our applications are running in the cloud and there are increasingly more providers to choose from. The LibCloud project is a Python library to help us manage the complexity of our environments from a uniform and pleasant API. In this episode Anthony Shaw joins us to explain how LibCloud works, the community that builds and supports it, and the myriad ways in which it can be used. We also got a peek at some of the plans for the future of the project. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project The Open Data Science Conference in Boston is happening on May 21st and 22nd. If you use the code EP during registration you will save 20% off of the ticket price. If you decide to attend then let us know, we’ll see you there! Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Anthony Shaw about the Apache LibCloud project Interview with Anthony Shaw Introductions How did you get introduced to Python? – Chris What is LibCloud and how did it get started? – Tobias How much overhead does using libcloud impose versus native SDKs for performance sensitive APIs like block storage? – Chris What are some of the design patterns and abstractions in the library that allow for supporting such a large number of cloud providers with a mostly uniform API? – Tobias Given that there are such differing services provided by the different cloud platforms, do you face any difficulties in exposing those capabilities? – Tobias How does LibCloud compare to similar projects such as the Fog gem in Ruby? – Tobias What inspired the choice of Python as the language for creating the LibCloud project? Would you make the same choice again? – Tobias Which versions of Python are supported and what challenges has that created? – Tobias What is your opinion on the state of PyPI as a package maintainer? What statistics are most useful to you and what else do you wish you could track? – Tobias Could you walk our listeners through the under the cover process details of instantiating a computer instance in say, Azure using libcloud? – Chris Does LibCloud have any native support for parallelization, such as for the purpose of launching a large number of compute instances simultaneously? – Tobias What does it mean to be an Apache project and what benefits does it provide? – Tobias What are some of the most notable projects that leverage LibCloud for interacting with platform and infrastructure service providers? – Tobias Could you describe how libcloud could be extended to abstract away a new type of service that’s not yet supported – e.g. a database? – Chris Would you suggest that libcloud users extend libcloud to cover ‘native’ services they might use like AWS Lambda, or should they mix libcloud and ‘native’ SDKs in cases like this? – Chris Could you talk a little bit about the cloud oriented network services that libcloud supports? Is it possible to create AWS VPCs, subnets, etc using libcloud? – Chris Do you know if people use LibCloud for abstracting the APIs of a single cloud provider, even if they don’t have any intention of using a different platform? – Tobias Do you think that people are more likely to use LibCloud for bridging across muliple public cloud platforms, or is it more commonly used in a hybrid cloud type of environment? – Tobias What is on the roadmap for LibCloud that people should keep an eye out for? – Tobias Keep In Touch Twitter GitHub GitHub Picks Tobias Blue Yeti Microphone Diablo Swing Orchestra Chris Rosewill RK Keycaps Enki Catch 22 Anthony Hidden Brain Podcast PyKwalify Doing Nothing Links Dimension Data Austin Bingham and Robert Smallshire Pluralsight Python Training CloudKick PyPI Ranking website Apache JClouds SaltStack Scalr Apache Software Foundation Mist.io StackStorm The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary As Python developers we have all used pip to install the different libraries and projects that we need for our work, but have you ever wondered about who works on pip and how the package archive we all know and love is maintained? In this episode we interviewed Donald Stufft who is the primary maintainer of pip and the Python Package Index about how he got involved with the projects, what kind of work is involved, and what is on the roadmap. Give it a listen and then give him a big thank you for all of his hard work! Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Google Play Music just launched support for podcasts, so now you can check us out there and subscribe to the show. Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project We also have a new sponsor this week. Rollbar is a service for tracking and aggregating your application errors so that you can fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcatinit to get 90 days and 300,000 errors for free on their bootstrap plan. The Open Data Science Conference in Boston is happening on May 21st and 22nd. If you use the code EP during registration you will save 20% off of the ticket price. If you decide to attend then let us know, we’ll see you there! Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Donald Stufft about Pip and the Python Packaging Authority Interview with Donald Stufft Introductions How did you get introduced to Python? – Chris How did you get involved with the Pip project? – Tobias What is the Python Packaging Authority and what does it do? – Tobias How is PyPi / the Python Packaging Authority funded? – Chris What is your opinion on the current state of Python packaging? Are there lessons from other languages and package managers that you think should be adopted by Python? – Tobias What was involved in getting pip into the standard Python distribution? Was there any controversy around this? – Chris Can you describe some of the mechanics of Pip and how it differs from the other packaging systems that Python has used in the past? – Tobias Does pip interact at all with virtualenv, pyenv and the like? – Chris The newest package format for Python is the wheel system. Can you describe what that is and what its benefits are? – Tobias What are the biggest challenges that you have encountered while working on Pip? – Tobias What does the infrastructure for the Python Package Index look like? – Tobias What have been some of the challenges around scaling Pypi’s infrastructure to meet demand? – Chris You’re currently working on a replacement for the PyPI site with the Warehouse project. Can you explain your motivation for that and how it improves on the current system? – Tobias Where do you see the future of dependency management in Python headed? – Chris A few days ago there was a big story about how an NPM library was removed from the index, breaking a large number of dependent projects and applications. Do you think that anything like that could happen in the Python ecosystem? – Tobias What’s on the roadmap for Pip? – Tobias Keep In Touch GitHub DistUtils Special Interest Group Email @dstufft on Twitter Picks Tobias Xiki Chris Agar.io Culprate TCP/IP Illustrated Volume I: The Protocols Donald Linux on Windows 10 Links Bandersnatch Wheel Warehouse pypa/warehouse PyPI Sponsors56 DevPI The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary If you are responsible for managing any amount of servers, then you know that automation is critical for maintaining your sanity. This week we spoke with Tomaž Muraus and Patrick Hoolboom about their work on StackStorm, which is a platform for tracking and reacting to events in your infrastructure. By allowing you to register actions with event triggers it frees you from having to worry about a whole class of concerns so that you can focus on building new capabilities rather than babysitting what you already have. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers and designers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. ODSC East in Boston is happening on May 21st – 22nd. Use the discount code EP for 20% off when you register Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Tomaž Muraus and Patrick Hoolboom about the StackStorm project, which is an event-driven system automation framework. Interview Introductions How did you get introduced to Python? – Chris What is StackStorm and what problems does it solve? – Tobias What was your inspiration for creating StackStorm and what were some of the biggest architectural and design challenges? – Tobias What made you choose Python for StackStorm’s implementation rather than another language like Go? – Chris Can you describe the architecture of StackStorm and what the setup looks like? – Tobias Other than chat driven events, what types of event sources does StackStorm support, and what use cases do those alternate event streams enable? – Chris The home page describes StackStorm as being an event-driven framework for automating the users infrastructure. What kinds of capabilities are made possible by this and do you think that it simplifies or complicates the work of operations engineers? – Tobias Is there a minimum or maximum size of infrastructure for which it would make sense to use StackStorm? – Tobias It looks like StackStorm is made up of a number of discrete components. What do the components use to communicate, and how did those choices influence the design of StackStorm’s overall architecture? – Chris I use SaltStack in my work which is a tool that also focuses on event-driven architecture. Can you compare and contrast the capabilities and focus of StackStorm with the features of SaltStack? Would it make sense to use both frameworks in the same infrastructure? – Tobias One of the advertised features of StackStorm is a strong focus on ChatOps. Can you explain that concept for people who might not be familiar with it and describe why it is such a useful paradigm? – Tobias Extensibility is a critical capability for an operations platform due to the wide variety of environments that people are inclined to build. In StackStorm the unit of extensibility is a pack. Can you describe what a pack is and how you arrived at that abstraction? – Tobias Have you encountered any situations in which the concept of a pack has been the wrong abstraction and made something more difficult than it may have been otherwise? – Tobias In very large scale environments like Netflix, how would one build a StackStorm cluster to handle the immense load. More specifically, how does one determine what kinds of machine resources each component needs? – Chris Management of credentials is always a difficult problem in operations. Does StackStorm attempt to tackle that issue or does it defer that responsibility to other systems, such as the user’s configuration management platform? – Tobias Does StackStorm interface with Kibana, Splunk or other log / metric aggregation packages? – Chris What are some of the most surprising uses that you have heard of from people using the platform? – Tobias Keep In Touch Tomaž Twitter website/blog Patrick Twitter Picks Tobias SAWS Bill Peet Chris Grimm Brewing Subliminal Message Sour Red Ale Lobste.rs Medium

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary Writing tests is important for the stability of our projects and our confidence when making changes. One issue that we must all contend with when crafting these tests is whether or not we are properly exercising all of the edge cases. Property based testing is a method that attempts to find all of those edge cases by generating randomized inputs to your functions until a failing combination is found. This approach has been popularized by libraries such as Quickcheck in Haskell, but now Python has an offering in this space in the form of Hypothesis. This week, the creator and maintainer of Hypothesis, David MacIver, joins us to tell us about his work on it and how it works to improve our confidence in the stability of our code. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project Open Data Science Conference on May 21-22nd in Boston. 20% Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing David MacIver about the Hypothesis project which is an advanced Quickcheck implementation for Python. Interview with David MacIver Introductions How did you get introduced to Python? – Chris Can you provide some background on what Quickcheck is and what inspired you to write an implementation in Python? – Tobias Are there any ways in which Hypothesis improves on the original design of Quickcheck? – Tobias Can you walk us through the execution of a simple Hypothesis test to give our listeners a better sense for what Hypothesis does? – Chris Have you had trouble getting people to use Hypothesis? How has adoption been? – David What does this sort of testing get you that conventional testing doesn’t? – David Why do you think this sort of testing hasn’t caught on in the Python world before? – David Are there any facilities of the Python language that make your job easier? Are there aspects of the language that make this style of testing more difficult? – Tobias What are some of the design challenges that you have been presented with while working on Hypothesis and how did you overcome them? – Tobias Given that testing is an important part of the development process for ensuring the reliability and correctness of the system under test, how do you make sure that Hypothesis doesn’t introduce uncertainty into this step? – Tobias Given the sophisticated nature of the internals of Hypothesis, do you find it difficult to attract contributors to the project? – Tobias A few months ago you went through some public burnout with regards to open source and Hypothesis in particular, but circumstances have brought you back to it with a more focused plan for making it sustainable. Can you provide some background and detail about your experiences and reasoning? – Tobias What’s next for Hypothesis? – Chris Keep In Touch Twitter Blog NewsLetter Picks Tobias TypeForm Listener Survey CI Survey Chris Seashine CheckIO Mike Coutermarsh’s Jr. Developer series David Make It Stick by Peter Brown Beeminder Vorkosigan Saga by Lois McMaster Bujold The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary In an attempt to improve the performance characteristics of the CPython implementation, Dino Viehland began work on a patch to allow for a pluggable interface to a JIT (Just In Time) compiler. His employer, Microsoft, decided to sponsor his efforts and the result is the Pyjion project. In this episode we spoke with Dino Viehland and Brett Cannon about the goals of the project, the progress they have made so far, and the issues they have encountered along the way. We also made an interesting detour to discuss the general state of performance in the Python ecosystem and why the GIL isn’t the bogeyman it’s made out to be. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers and designers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Your hosts as usual are Tobias Macey and Chris Patti Open Data Science Conference, Boston MA May 21st – 22nd, use the discount code EP at registration for 20% off Today we are interviewing Brett Cannon and Dino Viehland about their work on Pyjion, a CPython extension that provides an API to allow for plugging a JIT compilation engine into the CPython runtime. Interview with Brett Cannon and Dino Viehland Introductions How did you get introduced to Python? – Chris What was the inspiration for the Pyjion project and what are its goals? – Tobias The FAQ mentions that Pyjion could easily be made cross platform, but this being a Microsoft project it was bootstrapped on Windows. Have any of the discrete tasks required to get Pyjion running under OSX or Linux been laid out even in outline form? – Chris Given that this is a Microsoft backed project it makes sense that the first JIT engine to be implemented is for the CoreCLR. What would an alternative implementation provide and in what ways can a JIT framework be tuned for particular workloads? – Tobias What kinds of use cases and problem domains that were previously impractical will be enabled by this? – Tobias Does Microsoft’s recent acquisition of Xamarin and the Mono project change things for the Pyjion project at all? – Chris What are the challenges associated with your work on Pyjion? Are there certain aspects of the Python language and the CPython implementation that make the work more difficult than it might be otherwise? – Tobias When I think of Microsoft and programming languages I generally think of C++ and C#. Did your team have to go through an approval process in order to utilize Python, and further to open source your work on Pyjion? – Chris How does Pyjion hook into the CPython runtime and what kinds of primitives does it expose to JIT engines for them to be able to work with? – Tobias Would an entire project be run through the JIT engine during runtime or is it possible to target a subset of the code being executed? – Tobias In what ways can a JIT compiler implementation be purpose-built for a given workload and how would someone go about creating one? – Tobias Could a JIT plugin be designed with different trade-offs, like no C API compatibility, but that worked around the GIL to provide real concurrency in Python? – Chris One of the most notable benefits of having a JIT implementation for the CPython runtime is the fact that modules with C extensions can be used, such as NumPy. Does that pose any difficulties in the compilation methods used for optimizing the Python portion of the code? – Tobias What kinds of performance improvements have you seen in your experimentation? – Tobias Which release of Python do you hope to have Pyjion incorporated into? – Tobias Has any thought been given to making Python a first class citizen in Visual Studio Code? – Chris What areas of the project could use some help from our listeners? – Chris Keep In Touch Dino GitHub Brett Twitter Blog Python Engineering @ Microsoft Blog Picks Tobias Logitech Wave MK550 SaltStack TestInfra SaltStack Formula Cookiecutter Chris Anchor &#

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary Any programmer who has dealt with a website for any length of time knows that writing JavaScript isn’t always the most enjoyable. Wouldn’t you rather write that code in Python and just have it work on your website? In this episode we learn about Transcrypt with its creator Jacques de Hooge. Transcrypt is a Python to JavaScript transpiler that embraces the JavaScript ecosystem while letting you use the familiar syntax of Python for writing your logic, rather than trying to shoehorn a Python runtime into your browser. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers and designers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. ODSC East in Boston is happening on May 21st – 22nd. Use the discount code EP for 20% off when you register Your host today is Tobias Macey Today I am interviewing Jacques de Hooge about his work on the Transcrypt Project Interview with Jacques de Hooge Introductions How did you get introduced to Python? – Tobias What is Transcrypt and what inspired you to create it? – Tobias As you mention in the documentation, there are a number of projects that attempt to shoehorn Python into the browser. What makes Transcrypt different? – Tobias I like that you decided to embrace the web environment by calling into JavaScript libraries. What are some of the challenges that you encountered while creating that functionality? – Tobias How is the transpilation performed and what are some of the methods that you used to get the build size as small as it is? – Tobias Given the nature of JavaScripts prototypical inheritance and differences in class semantics, I imagine that adding support for multiple inheritance and reflecting the structure of Python classes must have been challenging. Can you describe that process and how you arrived at your current solution? – Tobias Which aspects of the language were most difficult to translate to JavaScript? – Tobias Is Transcrypt complete and stable enough to be used in production? – Tobias Keep in Touch Transcrypt.org Forum Email Picks Tobias Cookiecutter Jacques Programming The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary Wouldn’t it be nice to be able to generate interactive 3D visualizations of physical systems in a declarative manner with Python? In this episode we spoke with Ruth Chabay and Bruce Sherwood about the VPython project which does just that. They tell us about how the use VPython in their classrooms, how the project got started, and the work they have done to bring it into the browser. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers and designers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Ruth Chabay and Bruce Sherwood about their work on VPython Interview Introductions How did you get introduced to Python? – Chris What is VPython and how did it get started? – Tobias What problems inspired you to create VPython? – Chris How do you design an API that allows for such powerful 3D visualization while still making it accessible to students who are focusing on learning new concepts in mathematics and physics so that they don’t get overwhelmed by the tool? – Tobias I know many schools have embraced the open curriculum idea, have any of your physics courses using VPython been made available to the non matriculating public? – Chris How does VPython perform its rendering? If you were to reimplement it would you do anything differently? – Tobias One of the remarkable points about VPython is its ability to execute the simulations in a browser environment. Can you explain the technologies involved to make that work? – Tobias Given the real-time rendering capabilities in VPython I’m sure that performance is a core concern for the project. What are some of the methods that are used to ensure an appropriate level of speed and does the cross-platform nature of the package pose any additional challenges? – Tobias How does collision detection work in VPython, and does it handle more complex assemblies of component objects? – Chris Can you talk a little bit about VPython’s design, and perhaps walk us through how a simple scene is rendered, say the results of the sphere() call? – Chris Keep In Touch VPython Forum Glowscript Forum Github Picks Tobias Land of Lisp by Conrad Barsky M.D. Chris The Magicians Swift Atari Logo Bruce VPython.org Glowscript.org Ruth matterandinteractions.org/student NetLogo Links Coursera GATech Intro to Physics Alice Project glowscript.org Jupyter VPython RapydScript The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary Ian Ozsvald and Emlyn Clay are co-chairs of the London chapter of the PyData organization. In this episode we talked to them about their experience managing the PyData conference and meetup, what the PyData organization does, and their thoughts on using Python for data analytics in their work. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers and designers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Ian Ozsvald and Emlyn Clay about their work with PyData London, a group within the PyData organization. PyData London represents the largest Python group in London at ~2850 members, they hold regular monthly meetups for ~200 members at AHL near Bank and a yearly conference for around ~300 members. Last year, they and their sponsors raised over £26,000 to sponsor the development of core numerical libraries in Python. Use the promo code podcastinit20 to get a $20 credit when you sign up! On Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job. Interview Introductions How did you get introduced to Python? – Chris What is the PyData organization, how does PyData London fit into it and what is your relationship with it? – Tobias In what ways does a PyData conference differ from a PyCon? – Tobias Does PyData do anything in particular to encourage users from disciplines that might not be aware of how much our community has to offer to choose the Python suite of data analysis tools? – Chris You have both spent a good portion of your careers using Python for working with and analyzing data from various domains. How has that experience evolved over the past several years as newer tools have become available? – Tobias For someone who is just getting started in the data analytics space, what advice can you give? – Tobias How can conferences like PyData help strengthen the bonds and synergies between the Python software community and the sciences? – Chris There are a number of different subtopics within the blanket categorization of data science. Is it difficult to balance the subject matter in PyData conferences and meetups to keep members of the audience from being alienated? – Tobias Data science is a young field and we’ve yet to see lots of examples of the successful use of data. How are London-based companies using data with Python? – Ian Is there a Python data science library you think needs a little love? – Emlyn Keep In Touch Ian Blog Twitter Emlyn Twitter Picks Tobias xcape Keybase Filesystem Chris The Player of Games Undertale The Big Short Ian Seaborn: Python visualisation tool Mastering Predictive Analytics with R: Rui Miguel Forte Allergect Rhinitis research using ML London Unreal City Audio Tour Emlyn ipython nbconvert –template flag Damian Avila’s Blog post on making slides with iPython Notebook The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary Efene is a language that runs on the Erlang Virtual Machine (BEAM) and is inspired by the Zen of Python. It is intended as a bridge language that serves to ease the transition into the Erlang ecosystem for people who are coming from languages like Python. In this episode I spoke with Mariano Guerra, the creator of Efene, about how Python influenced his design choices, why you might want to use it, and when Python is the better tool. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Your host today is Tobias Macey Today we are interviewing Mariano Guerra about his work on the Efene language. Interview with Mariano Guerra Introductions How did you get introduced to Python? – Chris So Efene is a language that runs on the BEAM VM which you say was at least partially inspired by the Zen of Python. Can you explain in greater detail in what form that inspiration manifested and some of the process involved in the creation of Efene? – Tobias What inspired you to create Efene and what problems does it solve? – Tobias How does Efene compare to other BEAM based languages such as Elixir? – Tobias When would a Python developer want to consider using Efene? – Tobias What benefits does the BEAM provide that can’t be easily replicated in the Python ecosystem? – Tobias Does the Efene language ease the transition to a more functional mindset for developers who are already familiar with Python paradigms? – Tobias I understand that you are experimenting with another language implementation that runs on the BEAM. Can you describe that project and compare it to Efene? What were your inspirations? – Tobias Keep In Touch Twitter GitHub Blog Efene Emesene Python Argentina Picks Tobias Dotphiles The Unreasonable Effectiveness of Dynamic Typing for Practical Programs Mariano Om Next David Nolan on Om Next Clojurescript Things Network Links Erlang Elixir Lisp Flavored Erlang Joxa Rebar3 Erlang MK Hex Interfix The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary What is functional programming, why would you want to use it, and how can you get started with it in Python? Our guests this week, Matthew Rocklin and Alexander Schepanovsky, help us understand all of that and more. Matthew and Alexander have each created their own Python libraries to make it easier to employ functional paradigms in your Python code. In this episode they help us understand the benefits that functional styles can have and the benefits that can be realized by trying them out for yourself. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers and designers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Your host today is Tobias Macey Today we are interviewing Matthew Rocklin and Alexander Schepanovski about their work on functional libraries for Python. Interview with Alexander and Matthew Introductions How did you get introduced to Python? – Chris Can you first explain what functional programming is and how it differs from the procedural or object oriented programming that most Pythonistas are familiar with? – Tobias How did you get started with functional programming? – Tobias What are the benefits of functional programming and when might someone want to use functional paradigms in their projects? – Tobias What is it about functional programming that people find so intimidating and what do you think has led to its recent rise in popularity? – Tobias What aspects of the Python language lend themselves to being used in a functional manner and where does it fall down? – Tobias Can you each describe what your respective libraries provide in terms of functional capabilities and what their particular focus is? Are they distinct enough from each other that it would make sense to use them both in a single project? – Tobias What inspired each of you to create your respective libraries? – Tobias There is a functools module in the Python standard library that provides some methods that enable functional paradigms. Where does that module fall short and how do your respective libraries augment or replace the functionality in that module? – Tobias There is also a library named fn.py which provides functional paradigms for use in Python. Can you each compare and contrast it with your own work? – Tobias There are a number of concepts involved in functional programming such as currying, function composition, immutable data, and pure functions. Can you describe some of those concepts and then explain which of them you tried to incorporate into your libraries? – Tobias What are some of the resources that you have found to be most helpful when trying to learn and apply functional principles to your programs? – Tobias Keep In Touch Alexander Twitter Blog Matthew Website Toolz Twitter GitHub Picks Tobias DataDog Alexander The Expanse Revolut Matthew Riemann Five Dances Distributed Links Rosetta Code PyToolz Funcy Fn.py MacroPy Code Transformer Simple Made Easy by Rich Hickey The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary Do you find yourself reaching for a different language when you need some extra speed? With Cython you can get the best of both worlds by writing your code in Python and executing it as compiled code. In this episode we were joined by Craig Citro and Robert Bradshaw from the Cython project to discuss how and when you might want to incorporate it into your applications. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Craig Citro and Robert Bradshaw Interview with Craig Citro and Robert Bradshaw Introductions How did you get introduced to Python? – Chris What is Cython and how did the project get started? – Tobias My understanding is that Cython can improve the performance of a Python program without even having to provide any type annotations. How does it manage to do that? – Tobias Can a Cython module be used as a way to sidestep the GIL? What are some of the pitfalls that can be caused by doing so? – Tobias Can you give some examples of how Cython can be used to improve the perfomance of Python programs? – Tobias How does Cython work under the covers? – Tobias What were some of the challenges during the creation of Cython and what design decisions were made to overcome them? – Tobias Does Python’s cross platform nature create any unique challenges when compiling down to the C level? – Chris What processor and system architectures does Cython support and are there plans to expand that support? – Tobias How do generators and list comprehensions map to C, and did those higher level language constructs pose any special challenges in Cython’s design? – Chris Would Rust ever be a potential compile target for performance and safety optimized modules? – Tobias Keep In Touch Craig Twitter GitHub Website Robert Email Picks Tobias Certificates, Reputation, and the Blockchain Craig Curious Kids Science Book by Asia Citro dplyr magrittr Everything Is Obvious: How Common Sense Fails Us by Duncan Watts Robert Mo Willems Philips Hue Lights Sage Math Cloud Links Sage (Math) Pyrex) The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary Are you struggling with trying to manage a series of related, interdependent batch jobs? Then you should check out Airflow. In this episode we spoke with the project’s creator Maxime Beauchemin about what inspired him to create it, how it works, and why you might want to use it. Airflow is a data pipeline management tool that will simplify how you build, deploy, and monitor your complex data processing tasks so that you can focus on getting the insights you need from your data. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers and designers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Maxime Beauchemin about his work on the Airflow project. Interview with Maxime Beauchemin Introductions How did you get introduced to Python? – Chris What is Airflow and what are some of the kinds of problems it can be used to solve? – Chris What are some of the biggest challenges that you have seen when implementing a data pipeline with a workflow engine? – Tobias What are some of the signs that a workflow engine is needed? – Tobias Can you share some of the design and architecture of Airflow and how you arrived at those decisions? – Tobias How does Airflow compare to other workflow management solutions, and why did you choose to write your own? – Chris One of the features of Airflow that is emphasized in the documentation is the ability to dynamically generate pipelines. Can you describe how that works and why it is useful? – Tobias For anyone who wants to get started with using Airflow, what are the infrastructure requirements? – Tobias Airflow, like a number of the other tools in the space, support interoperability with Hadoop and its ecosystem. Can you elaborate on why JVM technologies have become so prevalent in the big data space and how Python fits into that overall problem domain? – Tobias Airflow comes with a web UI for visualizing workflows, as do a few of the other Python workflow engines. Why is that an important feature for this kind of tool and what are some of the tasks and use cases that are supported in the Airflow web portal? – Tobias One problem with data management is tracking the provenance of data as it is manipulated and shuttled between different systems. Does Airflow have any support for maintaining that kind of information and if not do you have recommendations for how practitioners can approach the issue? – Tobias What other kinds of metadata can Airflow track as it executes tasks and what are some of the interesting uses you have seen or created for that information? – Tobias With all the other languages competing for mindshare, what made you choose Python when you built Airflow? – Chris I notice that Airflow supports Kerberos. It’s an incredibly capable security model but that comes at a high price in terms of complexity. What were the challenges and was it worth the additional implementation effort? – Chris When does the data pipeline/workflow management paradigm break down and what other approaches or tools can be used in those cases? – Tobias So, you wrote another tool recently called Panoramix. Can you describe what it is and maybe explain how it fits in the data management domain in relation to Airflow? – Tobias Keep In Touch Google Group Gitter GitHub Picks Tobias Empire of the East by Fred Saberhagen The Book of Swords by Fred Saberhagen Chris Buraka Son Sistema Star Wars – Despecialized Edition The Iron Druid Chronicles Maxime Flask App Builder The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary The Web Server Gateway Interface, or WSGI for short, is a long-standing pillar of the Python ecosystem. It has enabled a vast number of web frameworks to proliferate by not having to worry about how exactly to interact with the HTTP protocol and focus instead on building a library that is robust, extensible, and easy to use. With recent evolutions to how we interact with the web, it appears that WSGI may be in need of an update and that is what our guests on this episode came to discuss. Cory Benfield is leading an effort to determine what if any modifications should be made to the WSGI standard or if it is time to retire it in favor of something new. Andrew Godwin has been hard at work building the Channels framework for Django to allow for interoperability with websockets. They bring their unique perspectives to bear on how and why we may want to consider bringing WSGI into the current state of the web. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Cory Benfield and Andrew Godwin about a proposed update to the WSGI specification. Interview with Cory Benfield and Andrew Godwin Introductions How did you get introduced to Python? – Chris First off, what is WSGI? – Tobias What are some of the ways the current WSGI spec has fallen out of step with the needs of the modern developer? – Chris How did you come to be involved with the new WSGI specification? What brought you into this process? – Chris Do you think the WSGI name itself brings a lot of expectation, or is it good to keep it as a well-recognised Python landmark? – Tobias Would it be better to make a clean break and implement an entirely new set of APIs and style of interaction? – Tobias What kind of compatibility guarantees should be made between the current spec and the proposed upgrade? What would the impact be if the new specification was incompatible? – Tobias How has the response been to your call for comments? What are some of the most frequently raised concerns or suggestions? – Tobias What are some of the proposed changes to the specification? – Tobias Are there any future directions you think WSGI should take that perhaps haven’t been considered yet? – Chris Has your opinion or vision of the proposed update changed as you reviewed responses to the conversation on the mailing list? – Tobias Do you have any ideas of how to design the new specification in order to avoid a similar situation of needing to deprecate the current standards in order to accomodate new web protocols? – Tobias What are some of the points of contention or rigorous debate that have kept previous WSGI 2 attempts from succeeding? – Chris Keep In Touch Andrew Twitter GitHub Cory Twitter GitHub Picks Tobias Discourse Chris The Expanse Puerto Rico for IOS Dominion for IOS Splendor for IOS Cory Wusthof Knives Australian Football XCOM 2 Andrew Archery Tromsø Norway The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary Looking for an open source alternative to Mathematica or MatLab for solving algebraic equations? Look no further than the excellent SymPy project. It is a well built and easy to use Computer Algebra System (CAS) and in this episode we spoke with the current project maintainer Aaron Meurer about its capabilities and when you might want to use it. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community at discourse.pythonpodcast.com to follow up with the guests and help us make the show better! nn I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit and double your signing bonus to $4,000. We are recording today on January 18th, 2016 and your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Aaron Meurer about SymPy Interview with Aaron Meurer Introductions How did you get introduced to Python? – Chris What is Sympy and what kinds of problems does it aim to solve? – Chris How did the SymPy project get started? – Tobias How did you get started with the SymPy project? – Chris Are there any limits to the complexity of the equations SymPy can model and solve? – Chris How does SymPy compare to similar projects in other languages? – Tobias How does Sympy render results using such beautiful mathematical symbols when the inputs are simple ASCII? – Chris What are some of the challenges in creating documentation for a project like SymPy that is accessible to non-experts while still having the necessary information for professionals in the fields of mathematics? – Tobias Which fields of academia and business seem to be most heavily represented in the users of SymPy? – Tobias What are some of the uses of Sympy in education outside of the obvious like students checking their homework? – Chris How does SymPy integrate with the Jupyter Notebook? – Chris Is SymPy generally used more as an interactive mathematics environment or as a library integrated within a larger application? – Tobias What were the challenges moving SymPy from Python 2 to Python 3? – Chris Are there features of Python 3 that simplify your work on SymPy or that make it possible to add new features that would have been too difficult previously? – Tobias Were there any performance bottlenecks you needed to overcome in creating Sympy? – Chris What are some of the interesting design or implementation challenges you’ve found when creating and maintaining SymPy? – Chris Are there any new features or major updates to SymPy that are planned? – Tobias How is the evolution of SymPy managed from a feature perspective? Have there been any occasions in recent memory where a pull request had to be rejected because it didn’t fit with the vision for the project? – Tobias Which of the features of SymPy do you find yourself using most often? – Tobias Picks Tobias Functional Geekery Nekrogoblikon Heavy Meta Marble Fun Run Chris Surprisingly Awesome All Watched Over by Machines of Loving Grace Pizzicato 5 Mayflower Hoppy Brown Ale Aaron Fermat’s Library catimg iTerm2 Keep In Touch Twitter Mailing List Gitter Channel Links Project Euler Richardson’s Theorem Doing Math With Python by Amit Saha (and Aaron’s book review) The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our community, and sign up for our mailing list. Summary RPython is a subset of Python that is used for writing high performance interpreters for dynamic languages. The most well-known product of this tooling is the PyPy interpreter. In this episode we had the pleasure of speaking with Maciej Fijalkowski about what RPython is, what it isn’t, what kinds of projects it has been used for, and what makes it so interesting. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. We are recording today on December 17th, 2015 and your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Maciej Fijalkowski on RPython Interview with Maciej Fijalkowski Introductions How did you get introduced to Python? – Chris What is RPython and how does it differ from CPython? – Tobias Can you share some of the history of RPython in terms of the major improvements and design choices? – Tobias In the documentation it says that RPython is able to generate a Just In Time compiler for dynamic languages. Can you explain why that is significant and some of the ways that it does that? – Tobias The most well-known use of RPython is the PyPy interpreter for Python. Can you share some of the other languages that have been ported to the RPython runtime and how their performance has been improved or altered in the process? – Tobias Are there any languages that have been designed entirely for use with RPython, rather than translating an existing language to run on it? – Tobias Do you know of any cases where an application has been written to run directly on RPython? – Tobias What are the computer architecture and operating system platforms that RPython supports and do you have any plans to expand that support? – Tobias Are there any minimum hardware specifications that are necessary to be able to effectively run a language written against the RPython platform? – Tobias Is RPython similar in concept to other efforts like Parrot in the Perl world? – Chris Are there any particular areas of the project that you need help with and how can people get involved with the project? – Tobias Picks Tobias PyCoders 2015 Recap Shape Up Xbox One Xbox One Kinect Selfless Chris Skunk Bear Category 6 Environments) Maciej PyCon South Africa Keep In Touch IRC Mailing List PyPy consultancy Links Psyco (Python JIT) Truffle HippyVM Topaz Pycket Pyxie-lang The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, support the show, join our Discourse community, and sign up for our mailing list. Summary If you are trying to build a web application in Python that can scale to a high number of concurrent users, or you want to leverage the power of websockets, then Tornado just may be the library you need. In this episode we interview Ben Darnell about his work as the maintainer of the Tornado project and how it can be used in a number of ways to power your next high traffic site. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ We are also running a listener survey to get feedback about the show. You can find it at bit.do/podcastinit-survey. I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project I would also like to thank Hired, a job marketplace for developers and designers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus to $4,000. Your hosts as usual are Tobias Macey and Chris Patti We recently launched a new Discourse forum for the show which you can find at discourse.pythonpodcast.com. Join us to discuss the show, the episodes, and ideas for future interviews. Today we are interviewing Ben Darnell about his work on Tornado Interview with Ben Darnell Introductions How did you get introduced to Python? – Chris What is Tornado and what sets it apart from other HTTP servers? – Chris How did you get involved with Tornado? – Ben What was the inspiration for the name? – Tobias Tornado was created before the recent focus on asynchronous applications. What prompted that design choice and when might someone care about using async in their development? – Tobias What is involved in creating an event loop and what are some of the specific design decisions that you made when implementing one for Tornado? – Tobias How does Tornado’s event loop compare to other packages such as Twisted or the asyncio module in the standard library? – Tobias The web module appears to provide a minimal framework for developing web apps. How scalable are those capabilities and is there a recommended architecture for people using Tornado to develop web applications? – Tobias What are some use cases in which a developer might choose Tornado over other similar options? – Chris Could you please give our listeners an overview of Tornado’s concurrency options including coroutines? – Chris I see that Tornado supports interoperability with the WSGI protocol and one of the use cases mentioned is for running a Django application alongside a Tornado app. Is that a common way for providing websocket capabilities alongside an existing web app? – Tobias I noticed that Tornado provides non-blocking versions of bare sockets and TCP connections. Are there any add-on packages available to simplify the use of various network protocols along the lines of what Twisted includes? – Tobias Please tell us about the transition of Tornado to Python 3. What obstacles did you face and how did you overcome them? – Chris Based on your issue tracker it looks like http2 support is definitely on the roadmap. Could you please detail your future plans in this area? – Chris What are some of the common “gotcha’s” for people who are just starting to use Tornado? – Tobias Picks Tobias Adventures of Riley Dayworld Trilogy by Philip José Farmer Chris Sense8 Habits of a Happy Brain Ethereum Ben The Memory Palace Newsblur Keep In Touch Mailing List Links Motor The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

Visit our site to listen to past episodes, join our community Discourse, support the show, and sign up for our mailing list. Summary Yves Hilpisch is a founder of The Python Quants, a consultancy that offers services in the space of quantitative financial analysis. In addition, they have created open source libraries to help with that analysis. In this episode we spoke with him about what quantitative finance is, how Python is used in that domain, and what kinds of knowledge are necessary to do these kinds of analysis. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus to $4,000. We are recording today on December 30th, 2015 and your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Yves Hilpisch about Quantitative Finance On Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job. Interview with Yves Hilpisch Introductions How did you get introduced to Python? – Chris Can you explain what Quantitative Finance is? – Tobias How common is it for Python to be used in an investment bank or hedge fund? – Tobias What factors contribute to the choice of whether or not to use Python in a Quantitative Finance role? – Tobias Are there any performance bottle necks or other considerations inherent in using Python for quantitative finance? – Chris What kind of background is necessary for getting started in Quantitative Finance? – Tobias What kinds of libraries or algorithms in Python are useful for the day-to-day work of a quant? – Tobias Is Python actually used to enact the trades? What protocols, APis, and libraries are used in this process? – Chris Could you please walk us through how a simple analysis using DXAnalytics might work? – Chris You work for a company called ‘The Python Quants‘. What kinds of services do you provide and what kinds of organizations typically hire you? – Tobias Picks Tobias Kraken by China Miéville Heroes in Training series Olympians Graphic Novels Data Elixir Newsletter Chris Hill Farmstead – Edward Long Trail – Brush & Barrel Series – Culmination Chocolate Porter Long Trail – Spaaaaaace Juice Double IPA Flask-RESTLess Yves The Willpower Instinct The Way of the Seal Sapiens: A Brief History of Humankind Python High Performance Computing Keep In Touch Twitter Website Links Quandl Yahoo Finance Market Data Ravenpack DX Analytics DataPark.io Python for Finance Derivatives Analytics With Python Python Quants Conference Open Source for Quant Finance The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA