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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
    }

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


print(tuple(result))
({'name': 'Ada Lovelace', 'age': 202},
 {'name': 'Emmy Noether', 'age': 135},
 {'name': 'Marie Curie', 'age': 150},
 {'name': 'Tu Youyou', 'age': 87},
 {'name': 'Ada Yonath', 'age': 78},
 {'name': 'Vera Rubin', 'age': 89},
 {'name': 'Sally Ride', 'age': 66})