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 Blueprint
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.
🎬 Best Way to Store Data in Python? Classes vs Dataclasses vs NamedTuple (Full Comparison)
Over on Code with Josh ~ HERE
Check out the video and drop a ❤️. This really helps out the channel!
👉 My Python Learning Resources
Here 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!
Share this post