The PyPod Chronicles

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 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!

Get My New Skill Boosting eBooks

I’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 Tutorial

Over on Code with Josh ~ HERE

Check 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!

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 Scratch

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 eBooks

I’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 Scratch

Over on Code with Josh ~ HERE

Check 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!

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 Project

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 eBooks

I’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 Project

Over on Code with Josh ~ HERE

Check 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!

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 Agents

P.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 eBooks

I’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 Agents

Over on Code with Josh ~ HERE

Check 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!

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 & SocketIO

P.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 eBooks

I’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 & SocketIO

Over on Code with Josh ~ HERE

Check 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!

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 eBooks

I’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 & Flet

Over on Code with Josh ~ HERE

Check 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!

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 Codebase

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 eBooks

I’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 Codebase

Over on Code with Josh ~ HERE

Check 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!

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 **kwargs

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!

The Data Analytics Playbook

After 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 **kwargs

Over on Code with Josh ~ HERE

Check 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!

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 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!

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 Tutorial

Over on Code with Josh ~ HERE

Check 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!

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!

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* 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 Explained

Over on Code with Josh ~ HERE

Check 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!