- switching between #Zig versions, I liked it more than the dedicated anyzig
- #Python venv activation – it's silly but feels so good, and collaborates with uv
- ensuring I have the right language server and formatter for a project, be it #Lua, #TypeScript, and trying out various options for Python
- setting LANG="C.UTF-8" only in the specific project folder because #Ansible refused to work with Polish...

The final boss was getting a really comfortable Tree-sitter setup: get the #Rust CLI, write grammar in #JavaScript, re-generate and run tests on source change as a mise Task. And then I only cloned the repo on another machine and was ready to go!

This post was written as a more cultured outlet for my excitement instead of aggresively committing mise.toml into every repository I touch

When teaching ecologists to code, I wrote pages of scripts to wrangle messy data.
Then I packaged them.
Result? 40+ researchers went from pages of code to single lines. More time for science, less for debugging.
That's the power of #OpenSource packaging.
Teaching Python packaging Nov 6 so more scientists can build reusable tools.
What script do you wish was already a package?
🔗 Workshop info: https://bit.ly/pyos-packaging-2025
#OpenScience #Python #FOSS

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Infographic titled 'Why Packaging Matters' with subtitle 'More time for discovery, less time debugging.' Three sections with teal bullet points: Problem - Researchers spend hours wrestling with messy data instead of doing science. Solution - Turn your scripts into reusable packages, one tool that works for everyone. Impact - What took 40 people pages of code now takes a few lines. Decorative flowers at bottom and Python logo in lower right corner on beige background.

whoever says that mastodon is nerdy:

when was the last time you quotted #pratchett or #python here?! Fedi is normie land with extra steps.

Join the fun at: https://paste.sr.ht/~maarrk/2f1125139c62ebc567d15eac5e066a73ef638845

What made me finally try something else than raw pip and venv was easy installing of multiple Python versions. I was completing a PR to a library that (admirably) wants to support the old ones as well. Once I had the tool, I tried it for releasing a new version of my own PyPI package, and I wasn't ready for how fast and convenient it would be.

pipx install nb-clean
nb-clean add-filter --remove-empty-cells --preserve-cell-outputs

I did enjoy the ease of setup of TkInter, and compatibility with Matplotlib, but I was missing the simplicity of immediate mode libraries. In trying to emulate these, now a few callbacks trigger "given this dataclass with state, the widgets should look like this".
The micro-management gremlin is whining that it's repeating useless work, but more importantly the window is complete and I can go on with the experiment.

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Screenshot of a basic graphical application with settings, showing plots of generated signal to its side.