parallelprocessing_pool.py

import multiprocessing

# Define a function
square = lambda x: x**2

if __name__ == "__main__":
  mylist = [1, 2, 3, 4, 9, 2, 5, 2, 7, 0, 5, 4, 1, 3, 5, 7]
  
  # Create a pool with 8 multicore threads
  # Apply the function to all arguments in the list
  pool   = multiprocessing.Pool(8)
  result = pool.map(square, mylist)
  
  print result
  # [1, 4, 9, 16, 81, 4, 25, 4, 49, 0, 25, 16, 9, 25, 49]