Real Python Podcast E263 Title Image

Episode 263: Exploring Mixin Classes in Python

The Real Python Podcast

What is a good way to add isolated, reusable functionality to Python classes? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

Episode Sponsor:

Christopher covers a recent Real Python tutorial about developing mixin classes to reuse code across multiple Python classes. He describes how mixins rely on multiple inheritance to combine features from different classes, enhancing flexibility and code reuse.

We also share several other articles and projects from the Python community, including a news roundup, highlights from the 2024 Python Developers Survey, reasons you might not need a Python class, an exploration of asyncio’s sharp corners, an explanation of how JIT builds of CPython work, a web-based GUI library, and a project for quickly querying Python lists.

This episode is sponsored by Influxdata.

Topics:

  • 00:00:00 – Introduction
  • 00:03:14 – Python 3.13.7 Released
  • 00:03:38 – Python 3.14.0rc2 Released
  • 00:04:10 – PEP 802: Display Syntax for the Empty Set
  • 00:04:59 – Announcing the PSF Board Candidates for 2025
  • 00:05:26 – Rodrigo - PSF - Community Service Award for Q2 2025
  • 00:06:06 – Python Developers Survey 2024 Results
  • 00:13:27 – pyx: A Python-Native Package Registry
  • 00:15:12 – Test & Code Final Episode
  • 00:15:48 – You Might Not Need a Python Class
  • 00:20:52 – Sponsor: Influxdata
  • 00:21:44 – asyncio: A Library With Too Many Sharp Corners
  • 00:25:43 – How JIT Builds of CPython Actually Work
  • 00:35:21 – Video Course Spotlight
  • 00:37:12 – What Are Mixin Classes in Python?
  • 00:44:05 – nicegui: Create Web-Based UI With Python
  • 00:46:51 – leopards: Quickly query your Python lists
  • 00:49:00 – Thanks and goodbye

Survey:

News:

Show Links:

  • You Might Not Need a Python Class – If you’re coming from other languages, you might think a class is the easiest way to do something, but Python has other options. This post shows you some alternatives and why you might choose them.
  • asyncio: A Library With Too Many Sharp Cornersasyncio has a few gotchas and this post describes five different problems, including: cancellation, disappearing tasks, and more.
  • How JIT Builds of CPython Actually Work – You don’t have to be a compiler engineer to understand how your code runs in a JIT build of CPython. This article runs you through just what happens under the covers.
  • What Are Mixin Classes in Python? – Learn how to use Python mixin classes to write modular, reusable, and flexible code with practical examples and design tips.

Projects:

Additional Links: