concurrent.futures模块（抽象层）

【1】IO密集型 -- 多线程

【2】计算密集型 -- 多进程

ThreadPoolExecutor

ProcessPoolExecutor

import time

import concurrent.futures

numbers  = list (range(1,11))

def count(n)

    for i in range(1000000):

        i+=1

    return i* n

def worker(x):

    result count(x)

    print(f'数字：{x}的计算结果是{result}')

//顺序执行

def sequntial_execution():

    start_time.clock()

    for i in numbers:

        worker(i)

    print(f'顺序执行花费时间：{tim() - start_time}秒')

//多线程执行

def threading_execution():

    start_time = time.clock()

    with concurrent.futures.ThreadPoolExecutor(max_workers = 5) as excutor:

        for i in numbers:

            executor.submit(worker,i)

    print(f'顺序执行花费时间：{tim() - start_time}秒')

//进程池执行

def process_execution():

    start_time = clock.clock()

    with concurrent.futures.ProcessPoolExecutor(max_workers = 5) as excutor:

        for i in numbers:

            executor.submit(worker,i)

    print(f'顺序执行花费时间：{tim() - start_time}秒')

if __name__ == '__main__':

   sequential_excution()

    threading_excution()

    process_execution()