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 They seem to always need a very specific (often outdated) version of python, require a bunch of venv nonsense, googling gives tons of outdated info that no longer works, and generally seem incredibly not portable.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?

  • N0x0n@lemmy.ml
    0·
    8 days ago

    Just out of curiosity, I haven’t seen anyone recommend miniconda… Why so, is there something wrong I’m not aware of?

    I’m no expert, but I totally feel you, python packages, dependencies and version matching is a real nightmare. Even with venv I had a hard time to make everything work flawlessly, especially on MacOS.

    However, with miniconda everything was way easier to configure and worked as expected.

      • N0x0n@lemmy.ml
        0·
        1 day ago

        I haven’t heard of Mathy, but it seems to be a math tool?

        From what I gathered, miniconda is like pipx or venv. It’s able to create python virtual environments.

        But I’m very new to all of this so I’m not really a good source. However after experimenting with either of them (venv, pip or miniconda) I found miniconda the easiest to use, but that’s also probably a skill issue.

        I was genuinely asking because their could be something I wasn’t aware of because yeah I’m new to all of this. (proprietary, bugs, not the right tool…

        You seem related to programming, maybe you could give me some pointers here?

        • flying_sheep@lemmy.ml
          0·
          9 days ago

          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@programming.dev
            1·
            8 days ago

            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.