7 Python Design Patterns Every Developer Needs to Know

Learn how to simplify complex Python code using structural design patterns like Adapter, Decorator, and Composite to write cleaner, scalable, and maintainable systems.

Let’s be real—writing solid software isn’t easy. You’ve got to balance new features, tight deadlines, bugs popping up out of nowhere, and constant changes to your code.

So what can make all that a little more manageable? Design patterns.

One type you don’t hear about enough is structural design patterns. They’re the ones that quietly hold everything together and help us build clean, organized systems that don’t fall apart as they grow.

Design patterns are basically tried-and-true ways of solving common problems in software. They help us devs create code that ideally runs well, is easy to keep up, and can grow when needed. Out of all the types, structural patterns are some of the most important.

Each week, I dive deep into Python and beyond, breaking it down into bite-sized pieces. While everyone else gets just a taste, my premium readers get the whole feast! Don't miss out on the full experience – join me today!

Structural patterns are all about how you put pieces of your code together—how classes and objects connect and work with each other. The goal is to build strong, reusable structures that make your code flexible and easier to manage.

In this article, I will take you through the next series of design patterns, since last week we focused on Creational Patterns, I wanted to ease us into Structural Patterns. I want to keep this shorter so I’ll break it up into two sections.

Today, we will cover the first three Structural Design Patterns in Python. These being: The Adapter, Bridge, and Composite patterns.

If you haven’t subscribed to my premium content yet, you need to check it out. You unlock exclusive access to all of these articles and all the code that comes with them, so you can follow along!

Plus, you’ll get access to so much more, like monthly Python projects, in-depth weekly articles, the '3 Randoms' series, and my complete archive!

👉 Thank you for allowing me to do work that I find meaningful. This is my full-time job so I hope you will support my work.

If you get value from my work, consider joining premium. It really helps me keep going and lets me know you’re getting something out of my work!

If you’re already a premium reader, thank you from the bottom of my heart! You can leave feedback and recommend topics and projects at the bottom of all my articles.

👉 If you get value from my work, please help me out, leave it a ❤️, and share it with others who would benefit from this. Thank you so much!

If you're serious about writing clean and scalable Python code, learning how to use structural design patterns the right way is a must. They'll help you cut down on duplicate code, keep things neat, and save time in the long run.