Topics covered in this episode:

• OverflowAI
• Switching to Hatch
• Alpha release of the Ruff formatter
• What is wrong with TOML?
• Extras
• Joke

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About the show

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• Michael: @mkennedy@fosstodon.org
• Brian: @brianokken@fosstodon.org
• Show: @pythonbytes@fosstodon.org

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Michael #1: OverflowAI

• Integration of generative AI into our public platform, Stack Overflow for Teams, and brand new product areas, like an IDE integration.
• Have a conversation about the search results and proposed answer with GenAI
• Coming with IDE integration too.
• Check out the video on their page for some more detail than the article.

Brian #2: Switching to Hatch

• Oliver Andrich
• Hatch has some interesting features
  • Template built from hatch new myproject includes isolating dev, test, lint virtual environments.
  • Each env can have scripts
  • Test matrix ala tox, but possibly easier to express complex matrices.
  • May not even need tox then, but then now you have hatch.
  • A way to specify which optional dependencies needed for default environment.
• Notes from Brian
  • One premise is that lots of projects are now using hatch.
  • I don’t know if that’s true. A quick spot check of a few projects include projects that use hatchling. While hatchling is the back end to hatch, they are not the same. I use hatchling a lot now, but haven’t picked up using hatch. But I do want to try it more after reading this article.

Michael #3: Alpha release of the Ruff formatter

• vis Sky Kasko
• Charlie Marsh announced that an alpha version of a Ruff formatter has been released in Ruff v0.0.289.
• The formatter is designed to be a drop-in replacement for Black, but with an excessive focus on performance and direct integration with Ruff.
• Sky says: I can't find any benchmarks that have been released yet, but I did some extremely unscientific testing and found the Ruff formatter to be around 5 to 10 times faster than Black when running on already-formatted code or in a small codebase, and 75 times faster when running on a large codebase of unformatted code. (The second outcome probably isn't very important since most people would not often be formatting thousands of lines of completely unformatted code.)
• For more info, see the README: https://github.com/astral-sh/ruff/blob/main/crates/ruff_python_formatter/README.md

Brian #4: What is wrong with TOML?

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• Colm O'Connor
• Suggested by Will McGugan
• This is a comparison of TOML vs StrictYAML under the use case of “readable story tests”.
• TLDR; For smallish things like pyproject.toml, toml is fine. For huge files, something like StrictYAML may be less horrible.
• from Brian:
  • Short answer: Nothing, unless you’re doing crazy things with it.
  • Re “readable story tests”: WTF? Neither of these are something I’d like to maintain.

Extras

Brian:

• Python Testing with pytest, the course
  • New intro video to explain what the course is about
  • Using Teachable video
    • like notes, mini-viewer, and speed controls
  • Chapter on “Testing Strategy” is next

Michael:

• HTMX + Django: Modern Python Web Apps, Hold the JavaScript Course
• Coding in Rust? Here's a New IDE by JetBrains
• Delightful Machine Learning Apps with Gradio out on Talk Python

Joke: The 5 stages of debugging