Generalized Matrix Multiplication without Numpy

Question

I want to make a system that allows me to input 2 matrixes, and it output a correct answer. I've gotten it to work with specifically a 1 x 3 * 3 x 2. But I want to make it more open ended. How could I do this?

# 1 x 3 by 3 x 2
def matmul(matA, matB):

    p1 = matA[0][0] * matB[0][0]
    p2 = matA[1][0] * matB[2][0]
    p3 = matA[2][0] * matB[4][0]
    
    num1 = p1 + p2 + p3
    
    p1 = matA[0][0] * matB[1][0]
    p2 = matA[1][0] * matB[3][0]
    p3 = matA[2][0] * matB[5][0]
    
    num2 = p1 + p2 + p3

    # Output is a 1 x 2 Matrix
    result = [num1, num2]
    print(result)

# ----------------------------------- #

# 1 x 3 Matrix
A = (
 [5],
 [-5],
 [10]
)

# 3 x 2 Matrix
B = (
 [-10], [13],
 [57], [-37],
 [-96], [15]
)

# Outputs a 1 x 2 Matrix
MatMult(A, B)

Answer 1

# 1 x 3 Matrix
A = [ [5, -5, 10]]

# 3 x 2 Matrix
B = [
 [-10, 13],
 [57, -37],
 [-96, 15]
]

def mult_matx(A, B):
    
    rowsA = len(A)
    colsB = len(B[0])
    result = [[0] * colsB for i in range(rowsA)]
    
    for i in range(rowsA):
        
        # iterating by column by B
        for j in range(colsB):
            
            
            # iterating by rows of B
            for k in range(len(B)):
                
                result[i][j] += A[i][k] * B[k][j]
 
    for r in result:
        print(r)