The Nim team is proud and happy to announce Nim version 2.0.
  • I Cast Fist@programming.dev
    1·
    2 years ago

    I’m curious to the reasoning behind moving a bunch of standard library stuff to external packages, listed at the end of the blog post. Faster compiling? Smaller executables? Faster development for each now separate package?

    • unquietwiki@programming.devOPEnglish
      2·
      2 years ago

      I saw that list, and figured that they were distancing themselves from obsolete encryption (MD5 & SHA-1), as well as remove database management from their scope (which seems like the right move, IMO).

    • grayrest@programming.dev
      2·
      2 years ago

      I don’t know the specific motivation here but in general it’s for package development to not be tied to the language release. People also generally have different backwards compatibility expectations for the stdlib vs a regular library and that constrains the development of the package. In Python the meme is that stdlib is where packages go to die. Not all large stdlib languages feel that way. Clojure, for example, has a pretty sizeable stdlib while being code frozen without a lot of demand for change. In general, however, language developers prefer not having things in stdlib.

  • itadakimasu@programming.dev
    0·
    2 years ago

    I want to love Nim but during my trial run with it. It was a pain in the ass to get set up on my Mac in a way that I could use it easily ie as a repl for quick and dirty prototyping and learning

      • itadakimasu@programming.dev
        1·
        2 years ago

        No issue setting up Nim itself (and I realize my complaint is not fault to Nim itself) but it would be great if this complimentary jupyter kernel for Nim would work on MacOS… Hasn’t been maintained in a while: https://github.com/stisa/jupyternim/issues/38

        Would be very useful for my workflow as someone who wants to explore Nim for data science-y type tasks.

        Anyone know of an alternative Nim jupyter kernel?

        • sotolf@programming.dev
          1·
          2 years ago

          I don’t think the jupyter kernel is made by the core developers of nim, it’s kind of weird to call the language pain in the ass because of one weird niche usecase being hard to set up :)

        • janAkali@lemmy.oneEnglish
          1·
          2 years ago

          Try inim.

          It’s not perfect, but closest thing to repl.
          I use it all the time for very small experiments.
          Installation should be as easy as:

          nimble install inim
  • cacheson@kbin.social
    0·
    2 years ago

    It seems like maybe there are some new features that weren’t in the previous release candidate? I don’t remember default values for objects being a thing. Maybe just me though?

    • I Cast Fist@programming.dev
      2·
      2 years ago

      That is a new and welcome change, in my opinion. I have a bit of experience with Nim and when you defined a type (object), you couldn’t define default values. The workaround was making or overloading a new() function with default values instead.