[0az]

Conda does their own thing, so I hope that this doesn't become commonplace.

It's a nightmare of interop. Yes, it works for one person on a single laptop, but my experiences with conda outside of the happy path are universally terrible.

I'll stick with the standards.

[lsorber]

Can you give an example of a case outside of the happy path?

[reubenmorais]

Just one from my personal experience: Conda installed Python having different compilation flags than official and distro Python builds, breaking ABI and causing native extensions built against official Python to crash when loaded in Conda Python.

[kaybe]

A few times a year our office loses power, which causes the machine we have running for data evaluation to crash. There seems to be about a third chance for that to damage my Anaconda installation.

Last time I could only solve it by deinstalling everything and reinstalling an updated version. Took ages to get all packages running again. Luckily my code still works but now I get depreciation warnings (and not in my code). Who knows what will happen next time. It only took like a day I needed for actually working with the data as well... urgh.