this post was submitted on 20 May 2025
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as someone fairly new to larger python projects, working in a team too - why does it seem like Iโm always in dependency hell? Sometimes things work with venv until I forget and a notebook needs something else. Or a diff type of proj because mlflow wanted another kind of env manager?
It would be similar hell in for example Matlab or C/C++ if install of external packages were made so easy.
Some systems that are designed more with the concept of maintenance challenges (Windows and others) make it possible to have different versions installed simultaneously.
The need for the whole venv thing fundamentally underscores the problem. How many versions of libc do you have installed simultaneously? (docker users pls don't respond)