multiprocessing_kwargs.py

import numpy as np
import multiprocessing

def do_calculation(i, **kwargs):
    np.random.seed()
    rand=np.random.randint(10)
    print(i, kwargs['foo'], kwargs['bar'], rand)

if __name__ == '__main__':
    jobs = []
    kwargs = dict(foo='bar', bar='foo')
    for i in range(5):
        p = multiprocessing.Process(target=do_calculation, args=(i, ), kwargs=kwargs)
        jobs.append(p)
        p.start()