What are techniques for writing maintainable Python code? How do you make your Python more readable and easier to refactor? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects. We discuss a recent article about writing code that is easy to maintain. We cover writing comments, creating meaningful names, avoiding magic numbers, and preparing code for your future self. We also share several other articles and projects from the Python community, including release news, modifying the REPL, differences between Polars and pandas, generating realistic test data in Python, investigating quasars with Polars and marimo, creating simple meta tags for Django objects, and a GUI toolkit for grids of buttons. Course Spotlight: Modern Python Linting With Ruff Ruff is a blazing-fast, modern Python linter with a simple interface that can replace Pylint, isort, and Black—and it’s rapidly becoming popular. Topics: 00:00:00 – Introduction 00:01:53 – PyTorch 2.9 Release 00:02:38 – Django 6.0 Beta 1 00:03:05 – Handy Python REPL Modifications 00:11:06 – Polars vs pandas: What’s the Difference? 00:17:55 – Faker: Generate Realistic Test Data in Python 00:22:06 – Video Course Spotlight 00:23:35 – Investigating Quasars With Polars and marimo 00:27:37 – Writing Maintainable Code 00:49:48 – buttonpad: GUI Toolkit for Grids of Buttons 00:52:10 – django-snakeoil: Simple Meta Tags for Django Objects 00:54:07 – Thanks and goodbye News: PyTorch 2.9 Release Django 6.0 Beta 1 Show Links: Handy Python REPL Modifications – Trey uses the the Python REPL a lot. In this post he shows you his favorite customizations to make the REPL even better. Polars vs pandas: What’s the Difference? – Discover the key differences in Polars vs pandas to help you choose the right Python library for faster, more efficient data analysis. Faker: Generate Realistic Test Data in Python – If you want to generate test data with specific types (bool, float, text, integers) and realistic characteristics (names, addresses, colors, emails, phone numbers, locations), Faker can help you do that. Investigating Quasars With Polars and marimo – Learn to visualize quasar redshift data by building an interactive marimo dashboard using Polars, pandas, and Matplotlib. You’ll practice retrieving, cleaning, and displaying data in your notebook. You’ll also build interactive UI components that live-update visualizations in the notebook. Discussion: Writing Maintainable Code – “Maintainable code can easily be the difference between long-lived, profitable software, and short-lived money pits.” Read on to see just what maintainable code is and how to achieve it. Projects: buttonpad: GUI Toolkit for Grids of Buttons django-snakeoil: Simple M