python threadpool
1.不使用线程池

import time


def sayhello(str):
    print('hello', str)
    time.sleep(2)


name_list = ['wangfei', 'aa', 'bb', 'cc']
start_time = time.time()
for i in range(len(name_list)):
    sayhello(name_list[i])

print('%d second' % (time.time()-start_time))

打印结果
hello wangfei
hello aa
hello bb
hello cc
8 second

2.使用线程池

import time
import threadpool


def sayhello(str):
    print('hello', str)
    time.sleep(2)


name_list = ['wangfei', 'aa', 'bb', 'cc']
start_time = time.time()
# 定义了一个线程池，最多创建10个线程
pool = threadpool.ThreadPool(10)
# 创建要开启多线程的函数，以及函数相关参数和回调函数，其中回调数可以不写，default是none
requests = threadpool.makeRequests(sayhello, name_list)
# 将所有要运行多线程的请求扔进线程池
[pool.putRequest(req) for req in requests]
# 所有的线程完成工作后退出
pool.wait()
print('%d second' % (time.time()-start_time))

打印结果
hello wangfei
hello aa
hello bb
hello cc
2 second

3.使用线程池多值传参的情况

def hello(m, n, o):
    print("m = %s, n = %s, o = %s" % (m, n, o))


if __name__ == '__main__':
    # # 方法1
    # lst_vars_1 = ['1', '2', '3']
    # lst_vars_2 = ['4', '5', '6']
    # func_var = [(lst_vars_1, None), (lst_vars_2, None)]

    # 方法2
    dict_vars_1 = {'m': '1', 'n': '2', 'o': '3'}
    dict_vars_2 = {'m': '4', 'n': '5', 'o': '6'}
    func_var = [(None, dict_vars_1), (None, dict_vars_2)]
    pool = threadpool.ThreadPool(2)
    requests = threadpool.makeRequests(hello, func_var)
    # [pool.putRequest(req) for req in requests]
    print(requests)
    for req in requests:
        print(req)
        pool.putRequest(req)
    pool.wait()

打印结果
[<threadpool.WorkRequest object at 0x0000023146648550>, <threadpool.WorkRequest object at 0x0000023146648588>]
<WorkRequest id=2410657645904 args=[] kwargs={‘m’: ‘1’, ‘n’: ‘2’, ‘o’: ‘3’} exception=False>
<WorkRequest id=2410657645960 args=[] kwargs={‘m’: ‘4’, ‘n’: ‘5’, ‘o’: ‘6’} exception=False>
m = 1, n = 2, o = 3
m = 4, n = 5, o = 6