Sorry Python but it is what it is.

  • gronjo45@lemm.ee
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    1 year ago

    Memes like this make me ever more confused about my own software work flow. I’m in engineering so you can already guess my coding classes were pretty surface level at least at my uni and CC

    Conda is what I like to use for data science but I still barely understand how to maintain a package manager. Im lowkey a bot when it comes to using non-GUI programs and tbh that paradigm shift has been hard after 18 years of no CLI usage.

    The memes are pretty educational though

    • goatbeard@lemm.ee
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      1 year ago

      Try not to learn too much from memes, they’re mostly wrong. Conda is good, if you’re looking for something more modern (for Python) I’d suggest Poetry

      • gronjo45@lemm.ee
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        1 year ago

        Never have heard of Poetry, but I’ll check it out tonight! I pretty much exclusively coded in Python and Julia up until I got out of uni. I learned after a couple of months of insanity swapping kernels, init systems, distributions and learning everything about file systems only leads to further insanity and productivity hindrance.

        Something something recommending someone who doesn’t know what a shell is to use emacs and make a Lua/Neovim config. Thanks for the tip!

      • Pantoffel@feddit.de
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        1 year ago

        Tbh, I’m always ending up having issues using poetry and conda. I prefer using penv and pip.

        • mog77a
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          1 year ago

          100% this. I remember really really trying to get the hang of them and eventually just giving up and doing it manually every time. I somehow always eventually mess something up or god forbid someone who isn’t me messes it up and I end up spending 4 hours dependency hunting. Venv and pip while still annoying are at least reliable and dead simple to use.

          However, a container is now my preferred way of sharing software for at least the past 6 years.

          • Pantoffel@feddit.de
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            1 year ago

            Yup. A container i slow to rebuild, but at least the most robust. This is my preferred way to share python code when there are system dependencies involved.