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Did #julialang end up kinda stalling or at least plateau-ing lower than hoped?
  • @FizzyOrange The problem with Python for signal processing and stuff like that is not pip (I know it's a meme by now, but it's really not that bad) but rather, the fact that some SciPy subpackages are barely maintained

  • Did #julialang end up kinda stalling or at least plateau-ing lower than hoped?
  • @maegul @programming Maybe nobody (save for the Julia developers) ever cared about the "two language problem". I see folks are just happy writing high performance tools in Rust with Python wrappers.

    In any case, I'm happy that the Julia folks gave birth to things like DifferentialEquations.jl, truly a piece of art. Anything that helps scientists and engineers move away from MATLAB is welcome.

  • Decent Decentralisation
  • @otl @maegul @fediverse Yes, find the full article at the top of the thread

  • Decent Decentralisation
  • @maegul @fediverse @robin This is a great summary:

    > failing to build the cooperation layer leads right back to capture no matter how good the tool. That's why git is simultaneously an extremely successful self-certifying system and a failed attempt at decentralisation.

    💯

  • Why I love my ebike! the most sustainable form of travel on the planet
  • @bonkerfield I really need to go back to biking (also just testing if my reply on Mastodon bubbles up there 🚲)

  • astrojuanlu Juan Luis @social.juanlu.space

    On a mission to accelerate the Solidarity Economy through technology ♻️

    Product Manager and Developer Advocate by day, rants about bad UX in F/LOSS by night. In love with SciPy, PyData, and all things Python. Luddite. Trying to make a positive impact.

    he/him/él

    searchable #fedi22

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