I suppose there are already many articles showing how to speed calculations by avoiding/optimizing pandas. It does feel a little unfair a comparison. Everyone

I suppose there are already many articles showing how to speed calculations by avoiding/optimizing pandas. It does feel a little unfair a comparison. Everyone knows that for loops are slow in python.. as is much of the core library. But pushing analysis to c using pythonic APIs (numpy/numba/pytorch) is fairly trivial