It's just a bad programming language. Guido has bad taste, it creates lazy, boring affordances that don't scale beyond a single file without paying for it somewhere.
Note that I'm not saying it's not useful (python is what C was to unix if it was invented now)
my take:
The language is A ok.
It's way better JS, and at the time it was a breath of fresh air. It was NodeJS before JS, and it was much better than node will be (I scratched out that "never").
I do recall Guido's claims about developers cognition - stating that (quoting from memory) a person can only hold up to 50k lines of code in their head, and Py can have way more code in that dimension that C or Java, but that's just stupid.
But similarly to JS it's heavily misused.
"But similarly to JS it's heavily misused."
Anything easy to use, will have also many unskilled people use it.
Python has always been an incredibly useful scripting and glue language and as such it is pretty much perfect (or rather: Python 2.x has been). The problems started only to appear when people tried using it as an actual programming language for writing large code bases entirely in Python. E.g. even a great tool can be the wrong tool for a job.
Define large?
For Python projects, I would define anything above 20kloc as 'large'.
My problem is that every machine learning ecosystem has decided that python is the main API and that if you want to call your model from another programming language you either have to build everything yourself (see llama.cpp/ggml) or use something extremely bare bones like IREE or worst of all, access python over IPC.