Python: Matrix multiplication via array slicing

Question

For an exercise of my programming class (we are using Python), I have to write a program that implements Matrix multiplication. The point is, that we should do this via array slicing and vector operations while trying to avoid using loops.

Unfortunately I have no idea how to do this without any loop. Using array slicing I could figure out a way to solve this with a loop nested within another loop instead of the direct way where you need three nested loops.

But how to do this without any loop?

Answer 1

Here is a sample code

import numpy as np 

# input two matrices 
mat1 = ([1, 6, 5],[3 ,4, 8],[2, 12, 3]) 
mat2 = ([3, 4, 6],[5, 6, 7],[6,56, 7]) 

# This will return dot product 
res = np.dot(mat1,mat2) 
//Output
[[ 63 320  83]
 [ 77 484 102]
 [ 84 248 117]]

Please read the docs for future reference rather than asking for help straightaway since the documentation for numpy and python libraries is expansive and well written.