Matrix Multiplication in python?

Question

I want to multiply these two matrices using pure python. Input (M1 is 3*3 and Mt is a 3*2) M1 = [[1.0016, 0.0, -16.0514], [0.0, 10000.0, -40000.0], [-16.0514, -40000.0, 160513.6437]] Mt = [(1.0, 1.0), (0.0, 0.25), (0.0, 0.0625)] Mt is zip transpose of another matrix. My code is : def mtxmultply (X, Y): Z = [[0 for row in range(len(X))] for col in range(len(Y[0]))] for i in range(len(A)): for j in range(len(Y[0])): for k in range(len(Y)): Z[i][j] += X[i][k]*Y[k][j] return Z IndexError: list index out of range. Not getting the surety if Mt is recognised as an matrix & is still a list object. But technically this should work. Select the correct answer from above options

Answer 1

The code should be like this for multiplication of two matrices in python- # take a 3x3 matrix C = [[1,1,1], [1,1,1], [1,1,1]] # take a 3x4 matrix D= [[2,2,2, 2], [2,2,2,2], [2,2,2,2]] R = [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]] # iterating by row of A for i in range(len(C)): # iterating by column by D for j in range(len(D[0])): # iterating by rows of D for k in range(len(D)): R[i][j] += C[i][k] * D[k][j] for s in result: print(s) output- [[6,6,6,6], [6,6,6,6], [6,6,6,6]]