Python multithreading pool example

pool.py

import multiprocessing

def func(x):
  print(x*x)

num_of_workers = multiprocessing.cpu_count()
pool = multiprocessing.Pool(num_of_workers)

for i in range(1,10):
  pool.apply_async(func, args=(i,))
  
pool.close()
pool.join()