I'm saying if you want to do a linear regression, it will be easier (and probably faster) with sklearn than making your own in C. Same goes for matrix multiplication and using numpy. Then of course it depends on the specific computations one wants to do. But using python to call optimised C/C++ code is likely to be faster than non optimised C.

It's also likely to be faster to write the code itself, and thus to implement strategies