If we are pedantic all code running in a computer is numeric, but I get your point for gpu calculations for pytorch or numba, so I won't make that point :)

I would describe polars a library to work with data (https://www.pola.rs/). So we have a high-performance library in Python to work with generic data.

I think that covers a lot of cases, since you can transform arbitrary parts of a program into data. Ask any lisp fan.

Typescript is great, and the approach of having native high-performance modules works great for Python. You can offload, if you want to, a big part of your program to high-performance libraries. Maybe it is not the most elegant, but it works.

Python is not cpp, but if it fits your use-case, it can be quite performant.