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by JesseMeyer 1953 days ago
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.