本文主要用到Python标准库concurrent.futures提供的并发执行功能，类似于进程池的用法，在多核或多CPU平台能够大幅度提高处理速度。

from concurrent.futures import ProcessPoolExecutor

PRIMES = [1099726899285419,112582705942171,

          112272535095293, 115280095190773,

          115797848077099, 9000099011]

def isPrime(n):

    if n%2 == 0:

        return False

    for i in range(3, int(n**0.5)+1, 2):

        if n%i == 0:

            return False

    return True

def main():

    with ProcessPoolExecutor() as executor:

        for number, prime in zip(PRIMES, executor.map(isPrime, PRIMES)):

            print('%d is prime: %s' % (number, prime))

if __name__ == '__main__':

    main()