I'm done pretending this is a "right tools for the right job" kind of thing, there's wrong people in the right job, and they only know python. If no one self-writes code anymore anyway, at least use a language that isn't a clusterfuck of bad design decisions, and has 1 trillion lines of code in the collective memory of people who don't know what a stack is.
I can get behind the idea that LLM's probably don't need a language designed for humans if humans arent writing it, but the rest of this is just daft. Pythons popularity isn't just pure luck, in fact its only been in recent years that the tooling has caught up to the point where its as easy to setup as it is to write, which should really tell you something if people persevered with it anyway.
I'm sorry your favourite language doesnt have the recognition it so rightfully deserves, but reducing python to just "stupid language for stupid people" is, well, stupid
I used to do backend development in superior languages, and sometimes do hobby frontend in superior languages, but my work is Python now. And it kind of has to be Python: we do machine learning, and I work with GDAL and PDAL and all these other weird libraries and everything has Python bindings! I search for "coherent point drift" and of course there's a Python library.
The superior languages I mentioned... perhaps they have like a library for JSON encoding and decoding. You need anything else? Great, now you're a library author and maintainer!
Circa 2017 I was working on systems that were complex enough that pip couldn't build them and after I got to the bottom of it I knew it not my fault but it was the fault of pip.
I built a system which could build usable environments out of pre-built wheels and sketched out the design of a system that was roughly 'uv but written in Python' but saw two problems: (1) a Python dependent system can be destroyed by people messing with Python environments, like my experience is that my poetry gets trashed every six months or so and (2) there was just no awareness by the 'one tiny project on your machine that pips in four packages' people that there was a correctness problem at all and everybody else was blaming themselves for a problem and didn't have a clear understanding of what was wrong with pip or what a correct model for managing python dependencies is (short answer: see maven) or that a 100% correct model was even possible and that we'd have to always settle for a 97% model. The politics looked intractable so I gave up.
Now written in rust, uv evaded the bootstrap problem and it dealt with the adoption problem by targeting 'speed' as people would see the value in that even if they didn't see the value in 'correctness'. My system would have been faster than pip because it would have kept a cache, but uv is faster still.
Poetry having users isn’t the metric for success. pip having way less users is.
(I'm not doing this to be a dick, I genuinely want to know what the use case is)
You can run a script with a one liner and it will automatically get you the same python and venv and everything as whoever distributed the python code, in milliseconds if the packages are already cached on your local computer.
Very easy to get going without even knowing what a venv or pypi or anything is.
If you are already an expert you get “faster simpler tooling” and if you are a complete beginner it’s “easy peasy lemon squeezy”.