
The Real Python Podcast
313 episodes — Page 6 of 7
Ep 62Selecting the Ideal Data Structure & Unravelling Python's "pass" and "with"
How do you know you're using the correct data structure for your Python project? There are so many built into Python and even more that are importable from the collections module. This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects. We discuss a recent three-part video course on selecting the ideal data structure.
Ep 61Scaling Data Science and Machine Learning Infrastructure Like Netflix
Would you move your data science project from a laptop to the cloud? Would you also like to have snapshots of your project saved along the way so that you can go back in time or share the state of your project with another team member? This week on the show, we have Savin Goyal from Netflix. Savin is the technical lead for machine learning infrastructure at Netflix. He joins us to talk about Metaflow, an open-source tool to simplify building, managing, and scaling data science projects.
Ep 60Building a Platform Game With Arcade and Covering Python News Monthly
Did you know the Python Software Foundation is hiring! With the recent support of three Visionary Sponsors, the PSF has been able to open positions for a developer-in-residence and a Python packaging project manager. Real Python now has a monthly Python news article. Frequent guest of the show, David Amos compiles and summarizes the biggest Python news from the past month.
Ep 59Organizing and Restructuring DjangoCon Europe 2021
Are you interested in learning more about Django? Would you like to meet other professionals and learn how they are using Django? DjangoCon Europe 2021 is virtual this year, and you can join in from anywhere in the world. This week on the show, we have Miguel Magalhães and David Vaz, two of the organizers of the conference.
Ep 58Podcast Rewind With Guest Highlights for 2020-2021
This week's show is a bit different. We are taking a well-deserved short break, but we still wanted to share an episode with you. This rewind episode highlights clips from the many interviews over the past year or so of the show.
Ep 57Taking the Next Step in Python Game Development
Are you interested in creating video games but feel limited in what you can accomplish within Python? Is there a platform where you can take advantage of your Python skills and provide the benefits of a dedicated game engine? This week on the show, we have Paweł Fertyk. Paweł is a Real Python author and has been creating games as Miskatonic Studio for several years now.
Ep 56OrderedDict vs dict and Object Oriented Programming in Python vs Java
Are you looking for a bit of order when working with dictionaries in Python? Are you aware that the Python dict has changed over the last several versions and now keeps items in order? Could you learn more about object-oriented programming in Python by comparing it to another language? This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
Ep 55Getting Started With Refactoring Your Python Code
Do you think it's time to refactor your Python code? What should you think about before starting this task? This week on the show, we have Brendan Maginnis and Nick Thapen from Sourcery. Sourcery is an automated refactoring tool that integrates into your IDE and suggests improvements to your code.
Ep 54Building a Neural Network and How to Write Tests in Python
Do you know how a neural network functions? What goes into building one from scratch using Python? This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
Ep 53Improving the Learning Experience on Real Python
If you haven't visited the website lately, then you're missing out on the updates to realpython.com! The site features a completely refreshed layout with multiple sections to help you take advantage of even more great educational Python content. This week on the show, we have Dan Bader, the person behind Real Python, and all these architectural changes.
Ep 52Connecting to MongoDB and Updates on the Python Packaging Landscape
Have you heard about NoSQL databases, or wondered how to use one with Python? How does MongoDB store information and what packages can you use to connect this type of database to your Python project? This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
Ep 51Navigating Options for Deploying Your Python Application
What goes into the decision of how to host your Python code or application in the cloud? Which technology stack is the right size for your project? This week on the show, we have Calvin Hendryx-Parker. Calvin talks about cloud hosting options, infrastructure choices, and deployment tools.
Ep 50Consuming APIs With Python and Building Microservices With gRPC
Have you wanted to get your Python code to consume data from web-based APIs? Maybe you've dabbled with the requests package, but you don't know what steps to take next. This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
Ep 49The Challenges of Developing Into a Python Professional
What's the difference between writing code for yourself and developing for others? What new considerations do you need to take into account as a professional Python developer? This week on the show, we talk to Dane Hillard about his book "Practices of the Python Pro".
Ep 48Stochastic Gradient Descent and Deploying Your Python Scripts on the Web
Do you know the initial steps to get your Python script hosted on the web? You may have built something with Flask, but how would you stand it up so that you can share it with others? This week on the show, we have the previous guest Martin Breuss back on the show. Martin shares his recent article titled, "Python Web Applications: Deploy Your Script as a Flask App". David Amos also returns, and he's brought another batch of PyCoder's Weekly articles and projects.
Ep 47Unraveling Python's Syntax to Its Core With Brett Cannon
Do you feel like you understand how Python works under the hood? What is syntactic sugar, and how much of it should be in Python? This week on the show, we have Brett Cannon. Brett is a Python core developer and he's been working on a series of articles where he is unraveling the syntax of Python. His series is a fantastic resource for those wanting to learn how Python is structured and works at its core.
Ep 46C for Python Developers and Data Visualization With Dash
Are you interested in building interactive dashboards with Python? How about a project that takes a flat data file all the way to a web-hosted interactive dashboard? This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
Ep 45Processing Images in Python With Pillow
Are you interested in processing images in Python? Do you need to load and modify images for your Flask or Django website or CMS? Then you most likely will be working with Pillow, the friendly fork of PIL, the Python imaging library. This week on the show, we have Mike Driscoll, who is writing a new book about image processing in Python.
Ep 44Creating an Interactive Online Python Conference for PyCascades 2021
How do you create a virtual conference that retains the interactivity of an in-person event? What are the tools needed for talk submissions, ticketing, and live hosting? Can you find those tools written in Python? This week on the show, we have several of the organizers of the PyCascades 2021 conference. They share the process of restructuring a Python conference to meet those challenges.
Ep 43Deep Reinforcement Learning in a Notebook With Jupylet + Gaming and Synthesis
What is it like to design a Python library for three different audiences? This week on the show, we have Nir Aides, creator of Jupylet. His new library is designed for deep reinforcement learning researchers, musicians interested in live music coding, and kids interested in learning to program. Everything is designed to run inside of a Jupyter notebook.
Ep 42What Is Data Engineering and Researching 10 Million Jupyter Notebooks
Are you familiar with the role data engineers play in the modern landscape of data science and Python? Data engineering is a sub-discipline that focuses on the transportation, transformation, and storage of data. This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
Ep 412020 Real Python Articles in Review
It's been quite the year! The Real Python team has written, edited, curated, illustrated, and produced a mountain of Python articles this year. We also upgraded the site and membership with office hours, transcripts, this podcast, and much more. We are joined by two members of the Real Python team, David Amos and Joanna Jablonski. We wanted to share a year-end wrap-up with a collection of articles that showcase a diversity of Python topics and the quality of what our team created this year.
Ep 40How Python Manages Memory and Creating Arrays With np.linspace
Have you wondered how Python manages memory? How are your variables stored in memory, and when do they get deleted? This week on the show, David Amos is here, and he has brought another batch of PyCoder's Weekly articles and projects. Along with the Real Python article on Python memory management, we also talk about another article about creating even and non-even spaced arrays in Python with np.linspace.
Ep 39Generators, Coroutines, and Learning Python Through Exercises
Have you started to use generators in Python? Are you unsure why you would even use one over a regular function? How do you use the special "send" method and the "yield from" syntax? This week on the show, we have Reuven Lerner to talk about his PyCon Africa 2020 talk titled "Generators, coroutines, and nanoservices."
Ep 38Looping With enumerate() and Python GUIs With PyQt
If you're coming to Python from a different language, you may not know about a useful tool for working with loops, Python's built-in enumerate function. This week on the show, David Amos is here, and he has brought another batch of PyCoder's Weekly articles and projects. Along with the Real Python article covering the details of the enumerate function, we also talk about another article about constructing Python graphical user interface elements in PyQt.
Ep 37Teaching Python and Finding Resources for Students
One of the best ways to learn something well is to teach it. This week on the show, we have Kelly Schuster-Paredes and Sean Tibor from the Teaching Python podcast. Sean and Kelly teach middle school students Python and share their art and science of teaching Python on their podcast. They wanted to come on the show to talk about the Real Python articles, quizzes, and other resources they use when teaching their students.
Ep 36Sentiment Analysis, Fourier Transforms, and More Python Data Science
Are you interested in learning more about Natural Language Processing? Have you heard of sentiment analysis? This week on the show, Kyle Stratis returns to talk about his new article titled, Use Sentiment Analysis With Python to Classify Movie Reviews. David Amos is also here, and all of us cover another batch of PyCoder’s Weekly articles and projects.
Ep 35Security and Authorization in Your Python Web Applications
So you built a web application in Python. Now how are you going to authorize users? Security goes beyond authentication. Who gets to do what, where, and when? This week on the show, we have Sam Scott, chief technology officer from Oso. Oso is an open-source policy engine for authorization that you embed in your application.
Ep 34The Python Modulo Operator & Managing Data With SQLite and SQLAlchemy
Are you ready to move beyond flat files for your data in Python? Maybe you're not sure where to start with databases and SQL. This week on the show, David Amos returns with another batch of PyCoder’s Weekly articles and projects. We cover a Real Python article about managing data with SQLite and SQLAlchemy.
Ep 33Going Beyond the Basic Stuff With Python and Al Sweigart
You probably have heard of the bestselling Python book, "Automate the Boring Stuff with Python." What are the next steps after starting to dabble in the Python basics? Maybe you've completed some tutorials, created a few scripts, and automated repetitive tasks in your life. This week on the show, we have author Al Sweigart to talk about his new book, "Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code."
Ep 32Our New "Python Basics" Book & Filling the Gaps in Your Learning Path
Do you have gaps in your Python learning path? If you're like me, you may have followed a completely random route to learn Python. This week on the show, David Amos is here to talk about the release of the Real Python book, "Python Basics: A Practical Introduction to Python 3". The book is designed not only to get beginners up to speed but also to help fill in the gaps many intermediate learners may still have.
Ep 31Python Return Statement Best Practices and Working With the map() Function
The Python return statement is such a fundamental part of writing functions. Is it possible you missed some best practices when writing your own return statements? This week on the show, David Amos returns with another batch of PyCoder’s Weekly articles and projects. We also talk functional programming again with an article on the Python map function and processing iterables without a loop.
Ep 30Exploring the New Features of Python 3.9
Python 3.9 has arrived! This week on the show, former guest and Real Python author Geir Arne Hjelle returns to talk about his recent article, "Python 3.9: Cool New Features for You to Try". Also joining the conversation is Real Python video course instructor and author Christopher Trudeau. Christopher has created a video course, which was released this week also, based on Geir Arne's article. We talk about time zones, merging dictionaries, the new parser, type hints, and more.
Ep 29Resolving Package Dependencies With the New Version of Pip
If you use Python, then you probably have used pip to install additional packages from the Python package index. Part of the magic behind pip is the dependency resolver, and there is a new version of it in the latest version of pip. This week on the show, we have Sumana Harihareswara and Georgia Bullen, who have been working on the recent releases of pip. Sumana is the project manager for pip, and Georgia has been working on pip's user experience (UX).
Ep 28Using Pylance to Write Better Python Inside of Visual Studio Code
A big decision a developer has to make is what tool to use to write code? Would you like an editor that understands Python, and is there to help with suggestions, definitions, and analysis of your code? For many developers, its the free tool, Visual Studio Code. This week on the show, we have Savannah Ostrowski, program manager for the Python Language Server and Python in Visual Studio. We discuss Pylance, a new language server with fast, feature-rich language support for Python in VS Code.
Ep 27Preparing for an Interview With Python Practice Problems
What is an effective way to prepare for a Python interview? Would you like a set of problems that increase in difficulty to practice and hone your Python skills? This week on the show, we have Jim Anderson to talk about his new Real Python article, "Python Practice Problems: Get Ready for Your Next Interview." This article provides several problems, which include skeleton code, unit tests, and solutions for you to compare your work.
Ep 265 Years Podcasting Python With Michael Kennedy: Growth, GIL, Async, and More
Why is Python pulling in so many new programmers? Maybe some of that growth is from Python being a full-spectrum language. This week on the show we have Michael Kennedy, the host of the podcast "Talk Python to Me". Michael reflects on five years of podcasting about Python, and many of the changes he has seen in the Python landscape.
Ep 25Data Version Control in Python and Real Python Video Transcripts
Wouldn't it be nice to a use a form of version control for data? Something that would allow you to track and version your datasets and models. Well, that's what the tool called DVC is designed to do. This week on the show, David Amos is here and he's brought another batch of PyCoder’s Weekly articles and projects.
Ep 24Options for Packaging Your Python Application: Wheels, Docker, and More
Have you wondered, how should I package my Python code? You've written the application, but now you need to distribute it to the machines it's intended to run on. It depends on what the code is, the libraries it depends on, and with whom do you want to share it. This week on the show we have Itamar Turner-Trauring, creator of the website pythonspeed.com. We discuss his article "Options for Packaging Your Python Code: Wheels, Conda, Docker, and More," covering the how of sharing your code.
Ep 23Python Wheels and Pass by Reference in Python
Have you wondered what Python wheels are? How are they used to package Python code? Does Python use pass by value or pass by reference? This week on the show, David Amos is here to help answer these questions, and he has brought another batch of PyCoder’s Weekly articles and projects.
Ep 22Create Cross-Platform Python GUI Apps With BeeWare
Do you want to distribute your Python applications to other users who don't have or even use Python? Maybe you're interested in seeing your Python application run on iOS or Android mobile devices. This week on the show we have Russell Keith-Magee, the founder and maintainer of the BeeWare project. Russell talks about Briefcase, a tool that converts a Python application into native installers on macOS, Windows, Linux, and mobile devices.
Ep 21Exploring K-means Clustering and Building a Gradebook With Pandas
Do you want to learn the how and when of implementing K-means clustering in Python? Would you like to practice your pandas skills with a real-world project? This week on the show, David Amos is back with another batch of PyCoder’s Weekly articles and projects.
Ep 20Building PDFs in Python with ReportLab
Have you wanted to generate advanced reports as PDFs using Python? Maybe you want to build documents with tables, images, or fillable forms. This week on the show we have Mike Driscoll to talk about his book "ReportLab - PDF Processing with Python."
Ep 19Advanced Python Import Techniques and Managing Users in Django
Would you like to clearly understand what's happening when you use the Python import keyword? Do you want to use modules more effectively to structure your code? Or maybe you're ready to move to the next level with your Django project by adding user management. This week on the show, David Amos is back with another batch of PyCoder's Weekly articles and projects.
Ep 18Ten Years of Flask: Conversation With Creator Armin Ronacher
This week on the show we have Armin Ronacher to talk about the first 10 years of Flask. Armin talks about the origins of Flask and the components that make up the framework. He talks about what goes into documenting a framework or API. He also talks about the community working on the ongoing development of Flask.
Ep 17Linear Programming, PySimpleGUI, and More
Are you familiar with linear programming, and how it can be used to solve resource optimization problems? Would you like to free your Python code from a clunky command line and start making convenient graphical interfaces for your users? This week on the show, David Amos is back with another batch of PyCoder's Weekly articles and projects.
Ep 16Thinking in Pandas: Python Data Analysis the Right Way
Are you using the Python library Pandas the right way? Do you wonder about getting better performance, or how to optimize your data for analysis? What does normalization mean? This week on the show we have Hannah Stepanek to discuss her new book "Thinking in Pandas".
Ep 15Python Regular Expressions, Views vs Copies in Pandas, and More
Have you wanted to learn Regular Expressions in Python, but don't know where to start? Have you stumbled into the dreaded pink SettingWithCopyWarning in Pandas? This week on the show, we have David Amos from the Real Python team to discuss a recent two-part series on Regex in Python. We also talk about another recent article on the site about views vs copies in Pandas. David also brings a few other articles and projects from the wider Python community for us to discuss.
Ep 14Going Serverless with Python
Would you like to run your Python code in the cloud without having to become an infrastructure engineer? Do you want to have Python functions that run when triggered by specific events? This week on the show we have Anthony Chu to discuss serverless computing and running python functions in the cloud. Anthony Chu is program manager for Microsoft's Azure Functions.
Ep 13PDFs in Python and Projects on the Raspberry Pi
Have you wanted to work with PDF files in Python? Maybe you want to extract text, merge and concatenate files, or even create PDFs from scratch. Are you interested in building hardware projects using a Raspberry Pi? This week on the show we have David Amos from the Real Python team to discuss his recent article on working with PDFs. David also brings a few other articles from the wider Python community for us to discuss.