https://dbader.org/blog/python-parallel-computing-in-60-seconds https://www.youtube.com/watch?v=aysceqdGFw8&list=PLP8GkvaIxJP1z5bu4NX_bFrEInBkAgTMr&index=5

Multiprocessing.py

"""
Python Parallel Processing (in 60 seconds or less)
https://dbader.org/blog/python-parallel-computing-in-60-seconds
"""
import collections
import multiprocessing

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 {
        'name': item.name,
        'age': 2017 - item.born
    }

if __name__ == '__main__':

    pool = multiprocessing.Pool()
    result = pool.map(process_item, scientists)

    print(tuple(result))