[dedup]

To me, Python is a great language for anything that needs to be written quickly and executed a few times and/or on a small scale. I'm a C/low-level guy primarily but I write a lot of Python code (probably more than C these days) for various purposes, and none of it is related to statistics or machine learning.

[morepedantic]

Because you haven't extrapolated from Python's niche. Those domains are derived from Python's accessibility. Python might be the most accessible big boy language.

[andirk]

I'm currently learning Python for my ML/Tensorflow online coirses. I thought bc I know C++ it'd be super easy but theres a lot of differences between them. Turns out an "easier" big boy language still has a bit of a learning curve

[morepedantic]

Python: dynamically typed, structurally typed, garbage collected, exceptions C++: statically typed, nominally typed, manual memory management, exceptions

It's a big jump from C++ to Python. If you want a midway, use Go.