Python's sum vs. NumPy's numpy.sum

Question

What are the differences in performance and behavior between using Python\'s native sum function and NumPy\'s numpy.sum? sum works on

Answer 1

if you use sum(), then it gives

a = np.arange(6).reshape(2, 3)
print(a)
print(sum(a))
print(sum(sum(a)))
print(np.sum(a))


>>>
[[0 1 2]
 [3 4 5]]
[3 5 7]
15
15