The PyPod Chronicles

Learn how to build five real FastAPI projects in a single weekend with clear steps, simple code examples, and practical tips that make the backend easier to understand. In this episode of PyPod Chronicles, you’ll walk through beginner-friendly FastAPI lessons, real project ideas, and straightforward guidance that helps you get better at Python development quickly.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Flet + Python: Build a Cross-Platform Stock Market App with Live API & Modern UIIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Learn Python. Build Projects. Get Confident!Most people get stuck before they even start… But that doesn’t have to be you!The Python Masterclass is designed to take you from “I don’t know where to start” to “I can build real-world Python projects” — in less than 90 days.👉 I’m giving you my exact system that’s been proven and tested by over 1,500 students over the last 4+ years!My masterclass is designed so you see your first win in less than 7 days — you’ll build your first working Python scripts in week one and finish projects in your first month.The sooner you start, the sooner you’ll have projects you can actually show to employers or clients.Imagine where you’ll be 90 days from now if you start today.👉 Ready to get started?P.S. — Get 20% off your First Month with the code: save20now. Use it at checkout!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others*. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here!* ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Build your data skills with PyPod Chronicles as we walk through Pandas using five real projects that make everything easier to understand. You’ll learn how to clean data, group it, filter it, and make sense of it using datasets that feel like real analyst work. This episode gives you clear, step-by-step guidance to help you learn Pandas faster, feel more confident, and develop the kind of practical skills you can use right away in a data role.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Flet + Python: Build a Cross-Platform Stock Market App with Live API & Modern UIIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Learn Python. Build Projects. Get Confident!Most people get stuck before they even start… But that doesn’t have to be you!The Python Masterclass is designed to take you from “I don’t know where to start” to “I can build real-world Python projects” — in less than 90 days.👉 I’m giving you my exact system that’s been proven and tested by over 1,500 students over the last 4+ years!My masterclass is designed so you see your first win in less than 7 days — you’ll build your first working Python scripts in week one and finish projects in your first month.The sooner you start, the sooner you’ll have projects you can actually show to employers or clients.Imagine where you’ll be 90 days from now if you start today.👉 Ready to get started?P.S. — Get 20% off your First Month with the code: save20now. Use it at checkout!🎬 Flet + Python: Build a Cross-Platform Stock Market App with Live API & Modern UIOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others*. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here!* ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we walk through how to set up your Python scripts to run automatically on any system. You’ll see how to use Task Scheduler on Windows, launchd on macOS, and cron on Linux. We go step-by-step, look at real examples, and talk about common mistakes people run into. By the end, you’ll know how developers and analysts use automation to handle repetitive work, save time, and keep scripts running every day or on whatever schedule they choose without having to do it by hand.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Web Scraping with Python & Scrapy for Beginners: Build a Real-World Web Crawler ProjectIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Learn Python. Build Projects. Get Confident!Most people get stuck before they even start… But that doesn’t have to be you!The Python Masterclass is designed to take you from “I don’t know where to start” to “I can build real-world Python projects” — in less than 90 days.👉 I’m giving you my exact system that’s been proven and tested by over 1,500 students over the last 4+ years!My masterclass is designed so you see your first win in less than 7 days — you’ll build your first working Python scripts in week one and finish projects in your first month.The sooner you start, the sooner you’ll have projects you can actually show to employers or clients.Imagine where you’ll be 90 days from now if you start today.👉 Ready to get started?P.S. — Get 20% off your First Month with the code: save20now. Use it at checkout!🎬 Web Scraping with Python & Scrapy for BeginnersOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others*. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here!* ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Grow your tech career with the latest episode of PyPod Chronicles. Learn how to build a strong personal brand by sharing what you’re learning, writing about your progress, showing your projects, and using social media to open real career opportunities.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, OpenAI Resume Analyzer in Python | Build an AI That Reads Your ResumeIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Don’t Pay $3,000+ for a Bootcamp…If you’ve been stuck in the cycle of tutorials and notes, this is your chance to break through.Over 12 weeks, you’ll build projects, get 1:1 feedback, and walk away with a portfolio you’re proud of.👉 Don’t want a Live Bootcamp? Join my Self-Paced Masterclass - Join HereP.S - Do you want the Live Python Cohort for Free?Most employers offer professional development or education stipends. You can use yours to cover the entire $749 tuition🎬 OpenAI Resume Analyzer in Python | Build an AI That Reads Your ResumeOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

After years of teaching Python, I’ve learned a lot about how people actually learn new things. In this episode of PyPod Chronicles, I share five lessons that changed how I think, learn, and teach. These ideas can help you pick up coding faster, understand things on a deeper level, and keep improving no matter what you’re trying to master.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Flet + Python: Build a Cross-Platform App (Desktop | Mobile | Web) in 30 MinutesIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Don’t Pay $3,000+ for a Bootcamp…If you’ve been stuck in the cycle of tutorials and notes, this is your chance to break through. Over 12 weeks, you’ll build projects, get 1:1 feedback, and walk away with a portfolio you’re proud of.👉 Don’t want a Live Bootcamp? Join my Self-Paced Masterclass - Join HereP.S - Do you want the Live Python Cohort for Free?Most employers offer professional development or education stipends. You can use yours to cover the entire $749 tuition🎬 Flet + Python: Build a Cross-Platform App (Desktop | Mobile | Web) in 30 MinutesOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Learn how to level up your Python skills using tools that are already built into the language. In this episode of PyPod Chronicles, we walk through six built-in modules that can replace popular third-party libraries. You’ll see how they make your code faster, simpler, and easier to manage while cutting down on extra installs and improving overall performance.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Engineering Workflow: How I Plan a Python Project Before Writing CodeIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Engineering Workflow: How I Plan a Python Project Before Writing CodeOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Learn exactly how to publish your Python package to PyPI in this clear, step-by-step episode of PyPod Chronicles. You’ll hear how to build, test, and upload your code, set up your setup.py file, use Twine, and handle versioning the right way. It’s made for anyone who wants to share their Python projects with others and finally release their first package with confidence. If you guys want to ready the step-by-step guide, you can do so here.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, I Gave 4 AI App Builders the Same Prompt — The Results Shocked MeIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 I Gave 4 AI App Builders the Same Prompt — The Results Shocked MeOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, I take a close look at Flask, Django, and FastAPI to help you understand how they’re different and which one might be right for you.Whether you’re building a small app with Flask, a full-featured site with Django, or a fast API with FastAPI, you’ll learn what makes each framework stand out. This episode is great for Python developers, backend engineers, or anyone trying to pick the best framework for their next project in 2025.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Learn Python in 2 Hours — Complete Course for Beginners [2026]If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Learn Python in 2 Hours — Complete Course for Beginners [2026]Over on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, I’m breaking down Python async in a way that’s easy to follow. You’ll learn how to use async, await, and asyncio with five straightforward rules that keep your app from freezing up or running into common errors. By the end, you’ll know how to build faster, more responsive apps that can handle real traffic without slowing down. This episode is great for Python devs who want to get a solid handle on concurrency, speed, and scaling their projects without the usual headaches.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, 10 Nooby Python Mistakes Beginners Make — Fix Them FastIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 10 Nooby Python Mistakes Beginners Make — Fix Them Fast (Code Examples)Over on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Learn how to avoid release-day headaches with a few simple smoke tests in this episode of PyPod Chronicles. I’ll walk you through five quick but effective tests that help you catch bugs early, keep your CI/CD pipeline from breaking, and make sure your deployments stay solid. This is a must-listen for developers, DevOps teams, and anyone who wants smoother, safer releases.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Python Asynchronous Programming Tutorial: Asyncio, async & await ExplainedIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Python Asynchronous Programming TutorialOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Learn some of the most useful Python debugging tricks that can save you time and frustration. In this step-by-step guide, we’ll walk through simple methods like print statements, logging, and the built-in pdb tool, along with a few advanced techniques. You’ll see how to track down errors quickly, clean up your code, and sharpen your programming skills. Whether you’re just getting started with Python or you’ve been coding for years, these tips will help you get better at debugging and writing solid code.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Web Scraping in Python — Reddit Scraper with BeautifulSoupIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Web Scraping in Python — Reddit Scraper with BeautifulSoup [No API]Over on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Learn how to make sense of Python data structures in this episode of PyPod Chronicles. We break down lists, tuples, sets, and dictionaries in a way that’s quick and easy to follow. In less than a minute, you’ll see real examples, practical tips, and simple ways to pick the right structure for the job. 👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Face Mask Detection Tutorial — TensorFlow 2 (CNN)If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Face Mask Detection Tutorial — TensorFlow 2 (CNN)Over on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we go over some of the most useful Python one-liners every developer should know. You’ll see how to write cleaner and faster code with simple real-world examples that make your programs more efficient. Whether you’re just starting out with Python or you’ve been coding for years, these tips will help you sharpen your skills and get more done with less code.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, 12 Minutes to Learn NumPy (Python): Arrays, Reshape, Arange & LinspaceIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to the Python Roadmap to Success, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 12 Minutes to Learn NumPy (Python): Arrays, Reshape, Arange & LinspaceOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, I break down five simple ways to make your Python code easier to read and maintain. You’ll learn how to choose clear names, write functions that make sense, add helpful comments, use type hints, and take advantage of Python’s own style and shortcuts. No matter if you’re just starting out or have been coding for years, these tips will help you write code that’s easier to understand, easier to work with, and more professional.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Secure FastAPI API with JWT (OAuth2) – Python Token Authentication TutorialIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Secure FastAPI API with JWT Over on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode, you’ll learn exactly how to make your very first pull request on GitHub. Whether it’s fixing a small mistake in the docs, adding a simple test, or helping close a bug, I’ll walk you through the process step by step. If you’re new to Python or just looking for a clear path to your first open-source contribution, this guide will help you get it done in less than an hour.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Build a REST API with a SQL DatabaseIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Build a REST API with a SQL DatabaseOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.P.S - Save 20% off your first month. Use code: save20now at checkout!Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, Break Free from Tutorial Hell: Build Real Python Apps That Actually Work, I talk about a clear, proven way to stop getting stuck in endless tutorials. You’ll learn how to really understand Python, build real projects you can be proud of, and gain the confidence to code on your own—without having to follow someone else’s screen step-by-step.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Python Roadmap: 7-Step Plan to Learn Python FASTIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Python Roadmap: 7-Step Plan to Learn Python FASTOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass Subscription gives you everything you need to go from zero to building real-world projects — with new lessons, challenges, and support every month. Over 1,500+ students have already used this exact system to learn faster, stay motivated, and actually finish what they start.Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, I talk about how you can use graphs in Python to make sense of real-world things like social networks, maps, and even AI. I break down what graphs are, how nodes and edges work, and show you how to build them with real Python code. Whether you're curious about how your friends connect on social apps, how GPS maps routes, or how AI systems link things together, this episode makes it all easier to understand.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, FastAPI Crash Course 2025If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 FastAPI Crash Course 2025 - Getting StartedOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 20% discount, use code: learnpython20)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, I break down tree data structures in Python in a way that’s easy to follow. If binary trees or search trees have ever seemed confusing, don’t worry—I go through everything step by step using real examples and simple code. Whether you're new to Python or brushing up for a job interview, this episode explains things clearly so it actually clicks.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Graphs Data Structures in Programming: BFS vs DFSIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Graphs Data Structures in Programming: BFS vs DFSOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 20% discount, use code: learnpython20)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

If you’ve ever felt confused by Python data structures, this episode of PyPod Chronicles is for you. In The Ultimate Guide to Python Data Structures, I’ll walk you through the basics and more advanced topics like stacks, queues, trees, and graphs—all in a way that actually makes sense. No jargon, no overcomplicated stuff—just clear, simple explanations and real-life examples. This episode will help you feel more confident working with Python.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Python Tree Data Structure: Simple Tutorial.If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Check out my Skill Booster Books!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Python Tree Data Structure: Simple TutorialOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 20% discount, use code: learnpython20)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

If you're working with Python and want an easier way to handle databases without writing a bunch of raw SQL, this episode’s for you. I’ll walk you through how to use SQLAlchemy, a powerful tool that helps you connect to and work with databases in a simpler way. Whether you're just getting started or building real apps, this is a great intro to Python ORM that’ll help you understand how it all fits together.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Queues in Python with Real Examples.If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get One of My Skill Booster eBooks!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Queues in Python with Real ExamplesOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer35)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Ever wondered how Instagram manages to run so smoothly with billions of users around the world?In this episode of PyPod Chronicles, we take a close look at how Instagram still relies on Python and Django to power everything behind the scenes—from the backend that handles all the posts and messages, to the data pipelines that keep things running fast, and even the AI that personalizes your feed. You’ll learn how Python helps Instagram scale, stay flexible, and handle massive amounts of traffic every single day. 👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, if __name__ == "__main__" in PythonIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get One of My Skill Booster eBooks!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 if __name__ == "__main__" in PythonOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer35)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we’re taking a real look at how Amazon uses Python behind the scenes to power some of its biggest platforms—like AWS, Alexa, and its global e-commerce system. You’ll hear how Python plays a key role in automating cloud infrastructure, running smart voice assistants, building backend services, and driving machine learning across the company. I’ll break down how Amazon’s engineering teams use Python every day to make their systems faster, smarter, and more reliable. 👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Step‑by‑Step Password Hashing in Python with Bcrypt – Secure & PracticalIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get One of My Skill Booster eBooks!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Step‑by‑Step Password Hashing in Python with Bcrypt Over on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer35)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we’re diving into something every Python developer deals with—making mistakes and learning from them. Whether you’re just starting out or have been coding for years, mistakes are part of the process. You’ll hear honest stories about how real developers mess up, what they learn from it, and how those moments actually help them get better over time. We’ll talk about how trial and error builds confidence, why it's okay to fail, and how mixing hands-on coding with passive learning—like watching tutorials or listening to podcasts—can speed up your growth. If you’ve ever felt stuck, frustrated, or unsure of your progress, this episode will remind you that struggling is part of learning, and every mistake gets you one step closer to mastering Python.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Context Managers in Python – Step-by-Step Tutorial to Managing ResourcesIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get One of My Skill Booster eBooks!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Context Managers in Python – Step-by-Step TutorialOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer35)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we take a closer look at how Uber uses Python to run one of the biggest ride-hailing platforms in the world. You’ll learn how Python helps power everything from real-time ride matching and dynamic pricing to advanced AI systems that make Uber work smoothly at a massive scale. I’ll break down the tools, backend frameworks, and microservices that keep the app fast, smart, and reliable for millions of users every day.If you're into Python, backend development, or just curious about how big tech companies build and scale their systems, this episode gives you a behind-the-scenes look at how Python makes it all possible.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Julius AI: Complete Data Project in Python - From Zero to ML ModelIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get One of My Skill Booster eBooks!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Julius AI: Complete Data Project in PythonOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer35)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Find out how Netflix uses Python to deliver fast, smooth streaming without all that annoying buffering, and how it keeps your data safe too. In this episode of PyPod Chronicles, I break down how Python runs behind the scenes to make sure everything works well and your personal info stays secure.Learn how important Python is to Netflix’s success and get some ideas on how you can use Python to build strong, secure apps of your own.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Secure Random Password Generator in PythonIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get One of My Skill Booster eBooks!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Secure Random Password Generator in PythonOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer25)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Stop Writing Messy Code—Use These Python Behavioral Patterns Instead. I’ll breakdown some of the best behavioral design patterns in Python that’ll help you clean up your code and make it easier to understand and maintain. You’ll also learn how to use these patterns with real-life examples so you can start writing better, more organized code right away. Tune in now and become a more confident Python programmer.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Python Match Case vs If-Else: How the Match Statement Simplifies Complex ConditionsIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get my Skill Booster eBooks!I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Python Match Case vs If-ElseOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer25)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode, I break down four powerful design patterns—Bridge, Proxy, Facade, and Flyweight. You’ll learn how these patterns can help you write simpler, safer, and more efficient code. I’ve put a lot of love in all my eBooks below for you guys too!Whether you're building a big project or just want to keep your code clean and easy to manage, this episode gives you clear examples, practical tips, and advice you can use right away.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, AI Chatbot That Talks Like a Human Using Flet & Murf API (Full Guide)If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get One of My Skill Booster eBooks!This is the official release of my new book: The Machine Learning Blueprint. I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical.Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 AI Chatbot That Talks Like a HumanOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer25)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we’re talking about key Python design patterns every developer should know. I’ll walk through simple ways to use patterns like Adapter, Decorator, and Composite to help you clean up messy code and make your projects easier to manage.If you’re a Python developer or just someone who wants to write better, more organized code, this episode’s for you.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Best Way to Store Data in Python? Classes vs Dataclasses vs NamedTuple (Full Comparison)If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!🚨 New Book Launch - The ML BlueprintThis is the official release of my new book: The Machine Learning Blueprint. I’ve put in a ton of work to bring you three powerful eBooks over the last year that makes leveling up your Python skills, simple and practical. Thank you all for the support!📘 The Machine Learning Blueprint – Want to finally get machine learning without the confusing tech talk? This book walks you through every step, using simple words and real Python code you can actually run. You’ll build smart models that work, and feel proud doing it — no guesswork, just clear, practical projects.📕 SQL Meets Python – Imagine grabbing data from any database and turning it into answers fast — without stress or confusion. This book shows you how to mix SQL and Python like a pro, making your work smoother and quicker. If you want to impress with your data skills and get results fast, this one’s for you.📗 The Data Analytics Playbook – Starting from zero? No worries. This book breaks it down step by step, with real examples and hands-on Python code that actually works. It’s everything you need to go from “I don’t get data” to “I got this” — no fluff, just what matters.All three books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Best Way to Store Data in Python? Classes vs Dataclasses vs NamedTuple (Full Comparison)Over on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 35% discount, use code: pythonsummer25)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.My Favorite Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, I’m breaking down five of the most useful creational design patterns in Python—Singleton, Factory, Builder, Prototype, and Abstract Factory. If you’ve ever wondered how to write Python code that’s cleaner, easier to manage, and built to grow, this one’s for you. Whether you’re just starting out or you’ve been coding for a while, we’ll show you how these patterns work and how you can use them in real projects to make your code stronger and more organized.👉Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Hyperparameter Tuning a Machine Learning Model.If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics.📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Hyperparameter Tuning a Machine Learning ModelOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 20% discount, use code: learnpython20)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.Other Books on Amazon:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Sick of using print() to figure out what’s going wrong in your code? In this episode of PyPod Chronicles, I talk about a better way—Python’s logging module. I’ll break down why logging is a smarter choice when you’re trying to find bugs, keep track of errors, or get your code ready for real-world use. 'Whether you’re just starting out or have been coding for a while, this episode gives you simple, real examples to help you get the hang of it.👉 As a way to celebrated the 100th episode last week I am giving a limited time of 30% off all annual subscriptions to The Nerd Nook!Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, How to Build a Python Portfolio to Get You Hired in 2025.If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics.📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 How to Build a Python Portfolio to Get You Hired in 2025Over on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!👉 My Python Learning ResourcesHere are the best resources I have to offer to get you started with Python no matter your background! Check these out as they’re bound to maximize your growth in the field.Zero to Knowing: My Python Masterclass platform designed from 8 years teaching experience and that has helped over 1,500+ students succeed with Python. (All my readers gain a special 20% discount, use code: learnpython20)Code with Josh: This is my YouTube channel where I post videos every week designed to help break things down and help you grow.My Books: Maybe you’re looking to get a bit more advanced in Python. I’ve written 3 books to help with that, from Data Analytics, to SQL all the way to Machine Learning.The Nerd Nook: This is where you are right now! I write here multiple times per week with the sole goal of breaking down this larger than life topic to help you excel and learn Python faster than you thought was possible.Other Books on Amazon* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

This one is special, this is special because this is the 100th episode of PyPod Chronicles!Honestly I can not even fathom that… The fact that I’ve done this for 100 episodes is amazing so thank you to anyone who is an active listener.In this episode of PyPod Chronicles, I’ll walk you through how to get your first Django project up and running. It’s a simple, step-by-step guide for anyone new to Django or web development. You’ll learn how to build a basic web app, understand how the back-end works, and see how to make dynamic sites using Python. If you’re just getting started and want to build something real with Django, this episode’s for you.👉 As a way to celebrate the 100th episode and also say thank you back to you guys I am giving a limited time of 30% off all annual subscriptions to The Nerd Nook!Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Build a Django Authentication System | Full TutorialIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics.📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Build a Django Authentication System | Full TutorialOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!📚 Other Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we’re talking about how to build a Python portfolio that can actually help you land a job in 2025. We’ll walk through the kinds of projects you should be working on, the tools you’ll need to know, and what hiring managers are really looking for—especially in fields like data science, software development, and tech in general. If you’re just starting out or trying to get noticed in a crowded job market, this one’s for you.👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Django Tutorial – Build a Python Web App from ScratchIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics.📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Django Tutorial – Build a Python Web App from ScratchOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!📚 Other Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, I break down five simple and proven ways to fix overfitting in your machine learning models. You’ll learn how to spot when your model is doing too much or too little, and how to fix it using easy tips like regularization, tuning your settings, and testing your model the right way. These are real strategies that actually help your models perform better in the real world, especially when you're working with Python.👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, How to Setup a Django ProjectIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics.📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 How to Setup a Django ProjectOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!📚 Other Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we’re talking about unsupervised learning in a way that’s easy to understand and actually useful. You’ll learn how techniques like clustering—especially K-Means—and PCA can help you find patterns in your data you might not see right away. It’s a great listen if you’re working with Python and want to get better at data analysis or make smarter decisions using your data. 👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Django REST API with Zencoder and Custom AgentsP.S - I’m giving away one of my eBooks to my listeners, details in the podcast episode!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics.📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Django REST API with Zencoder and Custom AgentsOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!📚 Other Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode, we get into feature engineering, feature selection, and machine learning techniques that help turn raw data into useful insights. We’ll cover strategies like correlation analysis, variance thresholding, and recursive feature elimination so you can build stronger models and improve accuracy. This episode is great for data scientists and ML enthusiasts who want to level up their skills and make their models work better. Don’t miss out on this essential episode to take your data science journey to the next level!👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Build a Live Chat Room in Python with Flask & SocketIOP.S - I’m giving away one of my eBooks to my listeners, details in the podcast episode!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!Get My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics.📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Build a Live Chat Room in Python with Flask & SocketIOOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!📚 Other Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Having trouble getting your machine learning models to make accurate predictions? In this episode of PyPod Chronicles, we break down the biggest mistake most people make—failing to properly evaluate their models. We’ll walk you through key metrics like MAE, RMSE, Precision, Recall, and F1-Score, so you can spot issues early and get better results. Don’t miss this deep dive into what really makes or breaks machine learning accuracy.👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, AI Voice Generator with Murf API & Flet.If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics.📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills.Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 AI Voice Generator with Murf API & FletOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!📚 Other Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we’re breaking down Decision Trees, Random Forests, and XGBoost in a way that actually makes sense. These machine learning models help solve real-world problems, like figuring out if someone might default on a loan. We’ll talk about when to use each one, how they make predictions better, and why they’re so important in data science and AI. Whether you're just getting started or already working with data, this episode will give you a clear understanding of how these powerful tools work.Give it a listen and level up your machine learning skills.👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, Python Flet App – Build Desktop & Mobile Apps with One CodebaseIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!My New Skill Boosting eBooksI’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!📘 The Data Analytics Playbook – A step-by-step guide that takes you from beginner to confident data analyst. No fluff, just real-world examples, hands-on Python code, and everything you need to actually use data analytics. 📗 SQL Meets Python – Learn how to combine SQL and Python to handle real-world data projects with ease. Whether you’re querying databases or automating analysis, this book makes it easy to connect the two and get results fast.Both books are packed with practical lessons and real examples—so you can skip the frustration and start building real skills. Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.🎬 Python Flet App – Build Desktop & Mobile Apps with One CodebaseOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!📚 Other Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

If you’re spending way too much time training machine learning models and not getting the results you want, this episode of PyPod Chronicles is for you. I’m breaking down a simple but powerful trick that can save you hours and make your models work way better. You’ll learn how to use pipelines, feature engineering, and hyperparameter tuning to automate your workflow, boost accuracy, and get more out of your models with less effort. This episode will show you exactly how to make your machine learning process faster and more efficient.Give it a listen and level up your machine learning skills.👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.I’ve linked the latest episode of Code with Josh below, How to Use *args and **kwargsIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!The Data Analytics PlaybookAfter a lot of hard work, I’m excited to launch my very first book, The Data Analytics Playbook—written just for you, my fellow nerds!This isn’t just another book. It’s a hands-on, step-by-step guide designed to take you from beginner to confident data analyst—fast. Well, over the span of 10 chapters. No fluff, no wasted time—just a real-world breakdown, plenty of Python code, and the skills you actually need.I wrote this to make learning data analytics simple, practical, and frustration-free.Pick up your copy today and start mastering data—without the struggle!🎬 How to Use *args and **kwargsOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!📚 Other Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we're talking about supervised learning and breaking down the difference between linear and logistic regression. I’ll explain when to use each one and show you how to apply them in Python. If you need to predict numbers or classify data into groups, I’ve got you covered with simple explanations and a good breakdown. Give it a listen and level up your machine learning skills.👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work. I’ve linked the latest episode of Code with Josh below, Build a Kivy Python App – Step-by-Step TutorialIf you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!My First eBook Is Finally Here! After a lot of hard work, I’m excited to launch my very first eBook, The Data Analytics Playbook—written just for you, my fellow nerds!This isn’t just another book. It’s a hands-on, step-by-step guide designed to take you from beginner to confident data analyst—fast. Well, in just 120 pages. No fluff, no wasted time—just a real-world breakdown, plenty of Python code, and the skills you actually need.I wrote this to make learning data analytics simple, practical, and frustration-free. Pick up your copy today and start mastering data—without the struggle!🎬 Build a Kivy Python App – Step-by-Step TutorialOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Here are some learning resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, I break down how to use Matplotlib and Seaborn to make clear, easy-to-read charts that help prepare data for machine learning. You'll learn simple tricks to spot patterns, clean up messy data, and make sure your data is in the best shape before training a model. Whether you're just getting into data science or already working with machine learning, this episode will show you practical ways to improve your visualizations and make smarter decisions with your data.Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, Python List & Dictionary Comprehensions Explained: Write Faster, Cleaner Code👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!🔐 Premium Reader Benefits* Full-length articles every Friday* Mini challenges & additional resources* Lifetime access to archives, including the new Machine Learning series.* Monthly Python projects* and so much more!👉 This is my full time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!Read the full article here ⤵️Don't miss out on the latest article in our new Machine Learning series!Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 Python List & Dictionary Comprehensions ExplainedOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Here are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Having trouble handling categorical data in machine learning? In this episode of PyPod Chronicles, we’ll walk you through the best ways to encode it—Label Encoding, One-Hot Encoding, Ordinal Encoding, and Frequency Encoding. You’ll learn when to use each method, how they affect your model’s performance, and the mistakes to watch out for so you don’t mess up your results. I’ll also share practical tips to help you avoid data leakage and make your predictions more accurate. Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, Build Minecraft with Ursina Engine in Python👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!🔐 Premium Reader Benefits* Full-length articles every Friday* Mini challenges & additional resources* Lifetime access to archives, including the new Machine Learning series.* Monthly Python projects* and so much more!👉 This is my full time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!Don't miss out on the latest article in our new Machine Learning series!Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 Build Minecraft with Ursina Engine in PythonOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Here are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

If you want to build better machine learning models, you need to start with clean, well-prepared data. In this episode of PyPod Chronicles, we’re breaking down the key steps to getting your data ready for modeling. You’ll learn how to handle missing values, scale and normalize data, and properly format categorical variables so your models perform better.Listen in as we go over the best techniques to clean and organize your data the right way.Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, Python Generators: The Must-Know Trick to Write Faster, Memory-Efficient CodeThis pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!🔐 Premium Reader Benefits* Full-length articles every Friday* Mini challenges & additional resources* Lifetime access to archives, including the new Machine Learning series.* Monthly Python projects* and so much more!👉 This is my full time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!Don't miss out on the latest article in our new Machine Learning series!Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 Python Generators: The Must-Know Trick to Write Faster, Memory-Efficient CodeOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Here are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Want to make your machine learning models work better? It all starts with good, clean data. In this episode of PyPod Chronicles, we’ll talk about why data quality matters, the biggest mistakes people make, and simple ways to clean and prepare your data for better results. Whether you're deep into AI or just getting started, this guide will help you set up your data the right way. Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, LSTM Time Series Forecasting with TensorFlow & PythonThis pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!🔐 Premium Reader Benefits* Full-length articles every Friday* Mini challenges & additional resources* Lifetime access to archives, including the new Machine Learning series.* Monthly Python projects* and so much more!👉 This is my full time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!Don't miss out on the latest article in our new Machine Learning series!Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 LSTM Time Series Forecasting with TensorFlow & PythonOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Here are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Want to know how to set up a solid machine learning workflow without the hassle? In this episode, I’ll walk you through everything step by step—setting up Python, getting Jupyter Notebook running, and using key tools like Scikit-Learn, Pandas, and NumPy. Whether you’re just starting out or already working with ML, this guide will help you organize your process and make things run smoother. Give it a listen and get your machine learning setup done the right way.Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, How to Test Python Code with PyTestThis pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!🔐 Premium Reader Benefits* Full-length articles every Friday* Mini challenges & additional resources* Lifetime access to archives, including the new Machine Learning series.* Monthly Python projects* and so much more!👉 This is my full time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!Don't miss out on the latest article in our new Machine Learning series!Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 How to Test Python Code with PyTestOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Here are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Learn how to use Python for data science, featuring key tools like Pandas, NumPy, and Scikit-Learn. I’ll break down ML algorithms in simple steps and show you how to use them to solve real-world problems. It’s a great starting point for anyone new to data science!Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, Machine Learning Pipelines with Scikit-LearnThis pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!🔐 Premium Reader Benefits* Full-length articles every Friday* Mini challenges & additional resources* Lifetime access to archives, including the new Machine Learning series.* Monthly Python projects* and so much more!This is my full-time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!Don't miss out on the latest article in our new Machine Learning series!Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 Machine Learning Pipelines with Scikit-LearnOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Here are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Want to get the most out of Python? We’re diving into 5 super helpful Python tips that’ll speed up your code, make debugging easier, save memory, and help you work with big data more efficiently. Whether you’re just starting or you’ve been coding for a while, these tricks will take your skills to the next level. Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, Machine Learning for DummiesThis pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!🔐 Premium Reader Benefits* Full-length articles every Friday* Mini challenges & additional resources* Lifetime access to archives, including the new Machine Learning series.* Monthly Python projects* and so much more!This is my full-time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!Don't miss out on the latest trends, tips, and tricks in Python programming.Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 Machine Learning for Dummies: Scikit-LearnOver on Code with Josh ~ HERECheck out the video and drop a ❤️. This really helps out the channel!Here are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we break down Python decorators in a way that’s easy to follow. You’ll learn what they are, how they work, and how to use them to make your functions better, write cleaner code, and step up your programming game. This episode will help you take your Python skills to the next level!Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, Build a REST API in Python | API Crash Course👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!This is my full-time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!💥 Special 35% Off Annual Subscriptions, Happy New Year ~ Get it now!Don't miss out on the latest trends, tips, and tricks in Python programming.Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 Build a REST API in Python | API Crash CourseOver on Code with Josh ~ HEREHere are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Think you're not good at coding? Well, you're wrong! In this episode of PyPod Chronicles, we dive into why coding can be tough and share easy ways to build your confidence. I’ll walk you through simple tricks to sharpen your logic, beat the frustration, and get better at coding. This is for all the beginners out there who feel unsure but are ready to improve!Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, Decorators in Python: the Complete Guide👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!This is my full-time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!💥 Special 35% Off Annual Subscriptions, Happy New Year ~ Get it now!Don't miss out on the latest trends, tips, and tricks in Python programming.Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 Decorators in Python: The Complete GuideOver on Code with Josh ~ HEREHere are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

Happy Holidays to you all wherever you may be in the world! I hope this time the year is spent with your loved ones and you are enjoying some much needed R&R.In this episode of PyPod Chronicles, we break down how to get really good at using NumPy, the go-to tool for crunching numbers and working with data in Python. I’ll show you how to speed up your calculations, make your machine learning projects run smoother, and work with big datasets without the headache. Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, Streamlit: The Best Way to Build Python Apps?👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!This is my full-time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive! 🎄Last call for our Special Holiday Lifetime Deal! - Get it hereDon't miss out on the latest trends, tips, and tricks in Python programming.Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 Streamlit: The Best Way to Build Python Apps?Over on Code with Josh ~ HEREHere are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe

In this episode of PyPod Chronicles, we break down how these two tools work together and share practical tips you can use right away. You’ll hear about tried-and-true best practices, real-world examples, and techniques that make analyzing data faster and easier. Whether you're looking to speed up your queries or build applications that can handle larger datasets, this episode has everything you need to level up your workflow.Tune in for another episode of PyPod Chronicles!I’ve linked the latest episode of Code with Josh below, What is the Python Walrus Operator?👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!This is my full-time job so I hope you will support my work.Along with getting access to my current SQL in Python series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!Don't miss out on the latest trends, tips, and tricks in Python programming.Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!🔐 Join our Premium for 80% more value and content ~ Check it out!🎬 What is the Python Walrus Operator?Over on Code with Josh ~ HEREHere are some resources:👉 Get my Python & Git Guide ~ Python PDF Guide📚 Books I’ve Found Helpful:* Python Crash Course - Here* Automate the Boring Stuff - Here* Data Structures and Algorithms in Python - Here* Python Pocket Reference - Here👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️Thank you for taking the time to listen to this week’s episode!This is my full-time job so I hope you can support my work as we build together! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thenerdnook.io/subscribe