Improve Matplotlib With Style Sheets & Python Async for the Web | Real Python Podcast #125

Have you thought the standard output from Matplotlib is a bit generic looking? Would you like a quick way to add style and consistency to your data visualizations? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.

We cover an article about the magic of creating style sheets for Matplotlib. You can quickly customize plots and graphs with a single line of code. We share additional resources for you to try out new styles and learn what parameters are customizable.

Christopher covers an article about using async for web development in Python. The creation of Python generators inspired the development of async functionality. He discusses recent changes and async additions within Python web frameworks.

We cover several other articles and projects from the Python community, including how you can install a pre-release version of Python, caching in Python with lru_cache, ways to get better at debugging, suggestions of libraries that deserve attention, a ti Python library for creating mathematical animations, and an extremely fast Python linter that is written in Rust.

Topics:

- 00:00:00 -- Introduction
- 00:02:21 -- Python releases 3.10.7, 3.9.14, 3.8.14, and 3.7.14 are now available
- 00:03:51 -- How Can You Install a Pre-Release Version of Python?
- 00:08:13 -- Understanding async Python for the Web
- 00:17:11 -- The Magic of Matplotlib Stylesheets
- 00:24:56 -- Caching in Python With lru_cache
- 00:29:41 -- Some Ways to Get Better at Debugging
- 00:38:14 -- Video Course Spotlight
- 00:39:26 -- Suggest a Lesser Known Library Deserving Attention?
- 00:44:52 -- ruff: An Extremely Fast Python Linter, Written in Rust
- 00:48:19 -- Manim: Python Library for Creating Mathematical Animations
- 00:51:50 -- Thanks and goodbye