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Is Python's tooling incredibly difficult, or am I just stupid? (sh.itjust.works)

submitted 1 week ago by [email protected] to c/programming

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So I'm no expert, but I have been a hobbyist C and Rust dev for a while now, and I've installed tons of programs from GitHub and whatnot that required manual compilation or other hoops to jump through, but I am constantly befuddled installing python apps. They seem to always need a very specific (often outdated) version of python, require a bunch of venv nonsense, googling gives tons of outdated info that no longer works, and generally seem incredibly not portable. As someone who doesn't work in python, it seems more obtuse than any other language's ecosystem. Why is it like this?

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[–] [email protected] -2 points 1 week ago (1 children)

It's fixed, and the python version had nothing to do with it. Just use hatch

[–] Tja 8 points 1 week ago (1 children)

Ah yes, the 15th standard we've been waiting for!

[–] [email protected] 0 points 1 week ago (1 children)

It's not a standard, it's built on standards.

You can also use Poetry (which recently grew standard metadata support) or plain uv venv if you want to do things manually but fast.

[–] Zykino 6 points 1 week ago (1 children)

Just use this one... or any of this 4 others.

This is the issue for us, python outsiders. Each time we try we get a different answer with new tools. We are outside of the comtunity, we don't know the trend, old and new, pro and cons.

Your first recommandation is hatch... first time I've heard of it. Uv seems trendy in this thread, but before that it was unknown to me too.

As I understands it, it should be pip's job. When it detect I'm in a project it install packages in it and python use them. It can use any tool under the hood, but the default package manager shoud be able to do it on its own.

[–] [email protected] 2 points 1 week ago

Uv and pip do the same thing, uv is just faster.

Hatch has the same role as Poetry or tox: managing environments for you.

Applications should be packaged properly, in a self contained installer for exactly this demographic. It's not Python's fault that this isn't common practice.