Naive Numba Demo

naive.py

import numpy as np
from numba import jit

X = (np.random.random((256,256))*16).astype(int)
Y = (np.random.random((256,256))*16).astype(int)

@jit
def naive():
 result = np.zeros((256,256))
 for i in range(len(X)):
   for j in range(len(Y[0])):
       for k in range(len(Y)):
           result[i][j] += X[i][k] * Y[k][j]
 return result

result=naive()
print(result[1])

#####

#$ time python3 naive.py 
#real	0m1.114s
#user	0m3.006s
#sys	0m6.170s

#(commenting out @jit )
#$ time python3 naive.py
#real	0m19.950s
#user	0m21.928s
#sys	0m6.083s

####

Note this is super naive, not using @jit with nopython=true or target='gpu' or type declaration or or or. But seriously, numba is all kinds of baller. LLVM loves you and wants you to be happy.