Python - Numpy Array is More Processing Efficient than Python List

Numpy array is more efficient than native python list. Run this example to see it for yourself how quick numpy array is when compared to native python list.

import numpy as np

import time

SIZE = 1000

l1 = range(SIZE)

l2 = range(SIZE)

a1 = np.arange(SIZE)

a2 = np.arange(SIZE)

t1 = time.time()

result1 = [(x+y) for x,y in zip(l1,l2)]

t2 = time.time()

print((t2-t1)*100000)

t1 = time.time()

result2 = a1+a2

t2 = time.time()

print((t2-t1)*100000)

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