Analyzing Data 170,000x Faster with Python

Re:Analyzing Data 170,000x Faster with Python by yodelshady on Tuesday October 31, 2023 @06:50AM (#38082808)

I have literally never had a project for which Poetry, given an exact list of dependencies and flawless running on the "bad system", installed correctly on first try.

Most recently it defaults to asking for a keyring, even when just downloading? I believe that's marked WONTFIX. Even with that hacked around, and I thought the point was to reduce the number of hacks required, tensorflow seems to almost universally fail in absolutely any configuration I've tried.

Don't even begin to try integrating your own packages, c++ template errors are tame by comparison. I've also never seen a poetry error fit in less than 500 lines of nested exceptions.

I want to like this tool but... boy, Docker doesn't give me this crap.

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Re:Analyzing Data 170,000x Faster with Python by sgarland on Tuesday October 31, 2023 @09:12AM (#38084308)

Granted I haven’t tried Tensorflow with it, but I’ve literally never had any issues with it that weren’t caused by system Python changing (like Brew updating the Python minor version). And that’s fixed by installing it with pipx, which is one of their recommended ways to do so.

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