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When Python was originally designed disk space was precious, and access to the Internet was rare, and its dependency management was designed for that world. Its multiple retrofitted package managers never fully fixed it.

However, better integrated package managers can work well. In case of Node.js and Cargo, the main argument against them is that it's too easy to add dependencies.



Fundamentally the problem with python is that it's packages are global and every workaround except ~docker can't fix it except in a hacky way since the package resolution is specified in the language


Tell us more, cause it’s not a problem I know


Try installing two pieces of software that depend on two different versions of tensorflow, then come back here.


I can install multiple python interpreters side by side each with independent packages and I can install different versions of the same python package for the same interpreter. I haven’t tried or had a need, by induction sounds possible :shrug:


Tensorflow wheels are bound to cuda installation which is driver/sudo level. It's a nightmare.




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