Perhaps not. Consider [Tushar Sadhwani] who wanted to create a classic C-style for loop inside of Python. He did it, and the journey is perhaps more interesting than the result.

Numba translates Python-interpreted code into machine-native code, with specializations for things like NumPy. Loops in Python over NumPy arrays can be optimized automatically this way.

I work in a lab where laptops are pervasive. They pushed out calculators, which decades earlier did the same to slide rules. As calculators become more powerful, for some jobs the Prime could be more ...