This is a multiprocessing example speeding up a compute bound problem.

py_multiprocess_computeB.py

import multiprocessing as mp
import time as time

def square():
    for i in range(1000000):
        x = pow(i, 2)

if __name__ == "__main__":
    num_iter = 10
    start = time.time()
    for i in range(num_iter):
        square()
    stop = time.time()
    print("single process time: {:.3f}".format(stop-start))

    start = time.time()
    processes= []
    for i in range(num_iter):
        p = mp.Process(target=square, args=())
        p.start()
        processes.append(p)

    for p in processes:
        p.join()
    stop = time.time()
    print("multi-process time: {:.3f}".format(stop-start))