lol I was just sitting here thinking I miss my Python job and not having trouble with IntelliJ detecting changes in dependencies and how frustrating it is to invalidate caches and reindex the whole project multiple times before I can run tests for the dependency change. I regularly miss the testing libraries we used, too -- it was so absurdly clean and easy to build robust mocks in our DJango stack (and I set up that tooling, largely on my own iniatiative, based on my team's feedback, so it's not like I'm just like wishing other people had already done the work). Now I work with a bunch of Java devs who use to work for Amazon and somehow use that as an excuse for not caring about tests, our ci-cd tools, and all these other things I'd gotten use to thinking of as standard in my past life as a Python dev.

Code style! Hah. First day on the job I asked about that and was told nobody cared and everybody had their own preferences.

... I'm very bitter today. I'm working on it.

This sounds more like a people problem than a language problem to me.

I’m in this forks and I have a hard time disagreeing.

Everything is jupyter notebooks, to the point where example documentation is delivered as notebooks and services run notebooks as it’s apparently easier to do that than to get people to write their code properly. “Oh but data exploration” they say, which is fine, but you shouldn’t be doing data exploration in your prod ML pipeline anyway, and you’re writing code, it’s really not that hard to follow some even rudimentary practices.