I work as a Data Scientist/Machine Learning Engineer and I think that biggest issue with Nim are lacking libraries. Working as a Data Scientist is very iterativ

I work as a Data Scientist/Machine Learning Engineer and I think that biggest issue with Nim are lacking libraries. Working as a Data Scientist is very iterative process, you spend most of the time preprocessing data. It's often try and see approach so interactive repl is a must. While I know Nim has some library to be used with Jupyter, I found it too immature. Other reason to favor Python is it's libraries - they are often written in cython which yields comparable (but of course a bit slower) performance to C. And to speed up custom code you can almost always use numba (llvm-based jit compiler that works with CPython).