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Tried tons of ways, and finally found peace of mind with poetry:
https://python-poetry.org/
It encourages to set up project specific definitions which are saved in the local pyproject.toml file. Keeping everything local and project specific, including the env definition, turns out to be a fantastic boon to reproducibility and sanity of mind.
My solution to the docs problem (which the OP describes well btw... The problem is how everything is on miles long pages), is to use:
https://devdocs.io
It does excellent fuzzy search-as-you-type, and is typically a pinned tab in my browser most of the time.
> It's really a shame that data science, ML, and notebooks are so wrapped up in it. Otherwise we could jettison the whole thing into space
Although I personally feel Python has its place, I contribute to a project that hopes to diversify the ML/scientific computing space with a TypeScript tensor lib called Shumai: https://github.com/facebookresearch/shumai