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It's a widely supported language with comparably fewer gotchas and foot guns.
Ohh you got python3 installed but this script is only for python2. Oh no you want a specific version of a package you gotta create a fucking venv for it! And hope that you dont forget next time you start :) Oh you renamed a variable of a class. You gotta catch them all! With the (sorry) worst error messages i have ever seen. You can still delete system32 with it.
Almost every language has versions. Python's is fairly stable. Python2 has been end of life for a few years now, and I don't think there's a python 4 even on the horizon.
Almost every language has dependency management. Use an IDE.
Use an IDE with refactor->rename. I've never had a problem with renaming. Right now when I went to see what it would do, it suggested correctly "did you mean [correct variable name]?". But even without that it just says my class has no attribute with the incorrect name, which is about what I would expect. If you think these are bad error messages you should stay away from JavaScript.
Most languages running as admin can delete files. I don't see how that's a relevant critique of python.
You wont change my mind about that pile of trash named python.
I would cite some cool dude ;)
Just use a virtual environment and let your ide manage it. Or a docker container if you're doing production work.
Any language may have trouble if you willy-nilly rename things by hand. That's not specific to python.
Like said IDEs work 90% of the time not or there are 50 packages with the god damn same name ( mostly malicious )
I have such mixed emotions about Python. I have to concede its uses. Especially when working with data and data scientists. A lot of people use it. There is a good amount of existing code floating around that can be re-used, etc. Its never the first language I reach for, but I have to accept that a lot of people use it.
But OMG, I have had to re-install my OS more than once due to python versioning issues. Not recently sure, I think I have it figured out now with virtualenv and pyenv, but it literally has caused me to reformat twice after getting too deep into dependency version mismatch hell.
You are the first who understand those issues. And yeah Data scientists use it.
The only one thing i really like in python are the decorators. Those are neat.
How on earth did you bork your os? Were you running stuff with sudo?
But yes, you should install deps in a virtualenv, or use something like docker.