Helps you to do a repetitive procedure by distributing it across all CPU's cores

multiprocessing.py

import time
import random
from multiprocessing import Process

workers = []

def do_something(a:str, b:int):
  """
  This is your main function that you want to be
  execute "n" times but much faster than usual by
  using all youe machine resources. It is sent to
  all cores of CPU using "multiprocessing". This
  can be compared with following loop:
  >>> for i in range(0,20):
    >>> do_something(10,20)
  """
  time.sleep(3)
  print(random.random()*a + b)

def main(n):
    if __name__ == '__main__':
        for i in range(0,n):
            p = Process(target=do_something, args=(10, 20))
            workers.append(p)
            p.start()

    for t in workers:
        t.join()
        
main(20)