Let me be blunt here: Python sucks, but that's at the level of 'programming languages people …

> there isn't a single piece of code that I ever put together that worked longer than a few years out of the box without some breaking change The best practice, which prevents this issue, is to use envs, (as well as pinning your dependencies for any given project in a committable artifact). (Seems like a lot of people are using system Python, which isn't really recommended.)

Very strange, about the whitespace. I write C++ most of the time and I love significant whitespace. I like the combination of power and (...these days, relative...) simplicity of the language for all kinds of helper tools. Probably wouldn't want to use it to write something that is large and / or needs to run fast.

Funny, for about every point I feel the opposite way :-). Python is an elegant language that hits the sweet spot where it is very expressive, and easy to do what you want, and at the same time has enough structure so you don't produce a mess all the time. The libraries are very powerful, but a lot of them are hacks. Numpy and Pandas totally rely on magic and overloading the array indexing operator. You can't express a problem the natural way or it will be slow, you have to think the numpy way. I find it especially confusing if you create expressions with numpy arrays. Am I operating on them element wise, or creating a "cross product", or am I creating some kind of magic indexing object? Matplotlib is also annoying, there are so many ways to do things and half of it is object oriented, while half of it uses global state. One thing I like about Python are the web frameworks (Django, Flask)…

My biggest pain point with Python is C / Rust dependencies. So, not really Python per se, as I suspect any language relying on C ABIs will hit the same issues.