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[-] dallen@programming.dev 5 points 5 months ago* (last edited 5 months ago)

Interesting, but if I have to use Windows then I would consider Conda depending on my dependency situation.

I don’t particularly like Conda, or Windows, but what I like even less is manually finding wheels for my project. For something like GDAL, I wouldn’t even try on Windows without Conda. I think it’s also easy for a beginner to get up and running with this setup.

My preferred setup is pyenv on Linux with poetry :)

[-] nickwitha_k@lemmy.sdf.org 4 points 5 months ago
[-] dallen@programming.dev 2 points 5 months ago

I’ve had a particularly difficult time with CUDA/Pytorch in WSL. Also with Windows not reclaiming memory…

But don’t get me wrong, WSL has helped a lot when I’ve needed to use Windows at work.

[-] nickwitha_k@lemmy.sdf.org 1 points 5 months ago

Oh my. Yeah. I don't Windows except to test tools so, that's not surprising.

[-] InternetCitizen2@lemmy.world 3 points 5 months ago

At one point I moved from pyenv to conda as I found it easier. May I know what draw backsyou see in conda for my curiously?

[-] dallen@programming.dev 3 points 5 months ago

In my experience:

  • No lockfile, and using the third party conda-lock is clunky
  • Painfully slow solver, although the libmamba solver came to the rescue
  • Conda-forge can lag behind pypi by weeks, depending on the package
this post was submitted on 20 May 2024
29 points (91.4% liked)

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