Most Python data science offloads the data crunching to Numpy, an optimized array based processing library.

This is feasible to reduce interpreter overhead considerably by using array programming:

c = a + b #This is valid Python code.

Where a and b are two same sized numpy arrays. Numpy typically handles the add in an optimized SIMD function.