Python multiprocessing and shared numpy array

I have a problem, which is similar to this:

import numpy as np

C = np.zeros((100,10))

for i in range(10):
    C_sub = get_sub_matrix_C(i, other_args) # shape 10x10
    C[i*10:(i+1)*10,:10] = C_sub

So, apparently there is no need to run this as a serial calculation, since each submatrix can be calculated independently. I would like to use the multiprocessing module and create up to 4 processes for the for loop. I read some tutorials about multiprocessing, but wasn't able to figure out how to use this to solve my problem.

Thanks for your help