• FooBarrington@lemmy.world
    link
    fedilink
    arrow-up
    3
    arrow-down
    4
    ·
    edit-2
    5 days ago

    Python is by far one of the worst languages I’ve ever seen in relation to maintainability, second only to Javascript (due to missing types, which are fixed by Typescript).

    Seriously, it’s rare for a Python project with more than 1,000 lines to not turn into an absolute mess thanks to the layers upon layers of meta programming, weird edge cases and so on. There are whole bad patterns I’ve never seen beyond Python codebases.

    Things are improving slowly thanks to type hints and so on, but they are still far from where they need to be. Python is used in even more dynamic ways than JS, so the type system needs to be more expressive than TS. You can’t even define a function that appends two tuples with proper type hints!

    • onlinepersona@programming.dev
      link
      fedilink
      English
      arrow-up
      1
      ·
      4 days ago

      I don’t know when the last time you worked on a python project was (professionally or privately), but things have changed. If all you know if python and python projects from 10 years ago, I’d agree with you, but modern python projects can be made very maintainable. See my other comment.

      As for meta programming, dude, I don’t know if you’re seen C++ templates…

      Anti Commercial-AI license

      • FooBarrington@lemmy.world
        link
        fedilink
        arrow-up
        2
        ·
        edit-2
        4 days ago

        Yes, they can be written in maintainable ways, I didn’t disagree in my original comment. That doesn’t change that most of the projects I come across to this day are absolutely unmaintainable messes. I’m not talking about Python from 10 years ago, I’m talking about the projects I encounter now.

        The biggest issue is that you have to limit yourself to a mostly non-dynamic subset of Python if you want type checking etc. to work, and you have to write your own type definitions for many dependencies. Most projects don’t do that, they instead lean into the dynamic nature of Python, which makes them unmaintainable after little time.