The PyPod Chronicles

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

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, 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, 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

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

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 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

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