The code below aims to compare performance of sum on a Python list and a NumPy array:

The code below aims to compare performance of sum on a Python list and a NumPy array:

import numpy as np
import time

lst = list(range(1000000))
arr = np.array(lst)

start = time.time()
sum_lst = sum(lst)
end = time.time()
print(end - start)

start = time.time()
sum_arr = np.sum(arr)
end = time.time()
print(end - start)

But the output shows the NumPy sum is slower. What is a possible reason?