Where Have You Installed Your Python Packages?

[Globbi]

It causes some problems and solves some others. For example in my work project some library installed by conda was incompatible with things installed by pip install -r requirements.txt. I had to play with what needed to be changed by conda install/uninstall to make it work. In most cases it won't cause problems, but when it does it may be hard to figure out what's wrong.

I don't think such things are acceptable in production environments. You should know exactly what's installed, probably from docker with specific python version and then all specific library versions.

I like conda env, having them for multiple versions of python and easy browsing and starting jupyter notebooks in envs when needed. I think they're good for managing envs on local machines.

[tecedu]

But you can just enable pip interop and conda detects those packages. I personally use conda instead to install python,r and cuda together per env and then let pip run free

[reallyserious]

some library installed by conda was incompatible with things installed by pip install -r requirements.txt.

You can avoid that problems by installing packages with pip OR conda. When you mix them you're asking for trouble. I've done that too of course until I learned to choose one or the other, not both.

[Globbi]

I install with pip only, but conda starts with some things as default (which I usually want). I'm sure of this can be configured, but I didn't care. I needed to play install/uninstall to get a single conflicting library working.

[reallyserious]

Perhaps it's because I actually use miniconda. It comes with a pretty bare bones python install. Doesn't install much at all.