How to write random matrix using loops and without numpy

Question

How can I create two matrixes without numpy as A and B(can also do these operations)?

import numpy as np

A = np.random.randint(-9, 9, size=(5, 5))
B = np.random.randint(-9, 9, size=(5, 5))

for i in range(5):
    print(A[i])
print()
for i in range(5):
    print(B[i])
print()
C = A * 2
for i in range(5):
    print(C[i])

result = [[A[j][i] for j in range(len(A))] for i in range(len(A[0]))]
print()
for r in result:
    print(r)
E = A + B
print()
for i in range(5):
    print(E[i])
F = A * B
print()
for i in range(5):
    print(B[i])

I tried like so, but in this case [C=A*2] gives me not multiply otherwise it writes 2 times matrix

import random
A = []
size_x, size_y = 5, 5
for _ in range(size_y):
    row = []
    for _ in range(size_x):
        row.append(random.randint(-9, 9))
    A.append(row)

B = []
size_x, size_y = 5, 5
for _ in range(size_y):
    row = []
    for _ in range(size_x):
        row.append(random.randint(-9, 9))
    B.append(row)