Python进程池举例

 multiprocessing包

from multiprocessing import Pool

def a(num):
    print num

if __name__ == "__main__":
    pool = Pool(3)
    for i in range(10):
        pool.apply_async(a,args=(i,))
    pool.close()
    pool.join()

concurrent包

with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
    for item in number_list:
        executor.submit(evaluate_item,  item)

参考资料

https://python-parallel-programmning-cookbook.readthedocs.io/zh_CN/latest/chapter4/02_Using_the_concurrent.futures_Python_modules.html