example_multiprocessing.py

import collections
import multiprocessing
import time

startzeit = time.time()

Scientist = collections.namedtuple('Scientist', [
   'name',
   'born',
])

scientists = (
   Scientist(name='Ada Lovelace', born=1815),
   Scientist(name='Emmy Noether', born=1882),
   Scientist(name='Marie Curie', born=1867),
   Scientist(name='Tu Youyou', born=1930),
   Scientist(name='Ada Yonath', born=1939),
   Scientist(name='Vera Rubin', born=1928),
   Scientist(name='Sally Ride', born=1951),
)

def process_item(item):
   return {    # same line
   'name': item.name, 
   'age': 2017 - item.born 
   }

   
if __name__ == '__main__':            # only in main 
	pool = multiprocessing.Pool()     # number of worker processes depends on CPU
	result = pool.map(process_item, scientists)
	print(tuple(result))
	endzeit = time.time()
	diff = endzeit - startzeit
	print("Zeit:" + str(diff))