Multi processing in python

 # # Multi Proceessing:

# running tasks in paralled in different cpu cores, bypasses GIL used for thread 

# mulitprocessing = better for cpu bound tasks (heavy cpu usageo)

# multithreading = better for io bound tasks (waiting around)

from multiprocessing import Process,cpu_count

import time 

def counter(num):

    count = 0

    while count < num:

        count +=1

def main():

    print(cpu_count())

    a = Process(target=counter, args=(125000000,))

    b = Process(target=counter, args=(125000000,))

    c = Process(target=counter, args=(125000000,))

    d = Process(target=counter, args=(125000000,))

    e = Process(target=counter, args=(125000000,))

    f = Process(target=counter, args=(125000000,))

    g = Process(target=counter, args=(125000000,))

    h = Process(target=counter, args=(125000000,))

    a.start()

    b.start()

    c.start()

    d.start()

    e.start()

    f.start()

    g.start()

    h.start()

    a.join()

    b.join()

    c.join()

    d.join()

    e.join()

    f.join()

    g.join()

    h.join()

    print("finished in:",time.perf_counter(), "seconds")

if __name__=='__main__':

    main()

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