Conda is a fucking nightmare. Luckily you can usually just use pip to get the same packages.
Why does “pip install gcc” keep failing then? ;)
Conda isn’t perfect but takes on a lot of problems that pip doesn’t deal with at all. Regular conda is really slow these days but you can use mamba instead or just configure conda to use the libmamba solver and it’s much nicer.
The folks at prefix.dev seem to be building some pretty cool drop in replacements for conda too.
Re:JupyterLab 4.0
by garbagecoder on Wednesday June 14, 2023 @11:33AM
(#36327501)
One that you can’t is the Clojure kernel for Jupiter. I installed it from source. That’s no big deal, but they aren’t 1-to-1 with packages.
I’m to the point now where if anything other than venv/pip is required I won’t use it. Unfortunately there are many things that insist on conda.