Are numpy's basic operations vectorized, i.e. do they use SIMD operations?

Question

I am doing some performance analysis, and i wonder, whether numpy vectorizes its standard array operations, when the datatype is known (double).

Answer 1

Take a look at basic example

import numpy as np

x = np.array([1, 2, 3], np.int32)
print (type(x))
y = np.array([6, 7, 8], np.int32)
print (type(y))

Now we are adding up these two arrays

z=x+y
print (z)
print (type(z))

As a result we have

[ 7  9 11]

Vectorised,yes they are.But the term vector has different meaning in mathematics and physics,and we are using arrays as mathematical abstraction.