使用concurrent.futures模块，这个模块是python3中自带的模块，但是，python2.7以上版本也可以安装使用（pip install futures），具体使用方式如下，直接上代码：

#! /usr/bin/env python
# -*- coding: utf-8 -*-

from concurrent.futures import ThreadPoolExecutor
import time

def func(a):
    print(a)
    time.sleep(0.1)

li = ["a","b","c","d","e"]

for循环，顺序执行，速度慢

start1 = time.time()
for obj in li:
    func(obj)
end1 = time.time()
print("time1: "+str(end1-start1))

线程池，示例1

start2 = time.time()
with ThreadPoolExecutor(3) as executor:
    for obj in li:
        executor.submit(func,obj)  
        # 如果是多个参数，直接在后面添加
        # executor.submit(func,a,b,c,d,e)  
end2 = time.time()
print("time2: "+str(end2-start2))

线程池，示例2

start3 = time.time()
with ThreadPoolExecutor(3) as executor1:
    executor1.map(func,li)
end3 = time.time()
print("time3: "+str(end3-start3))

注意：在使用多线程时，如果涉及到操作共享数据，需要加锁。

文档

https://docs.python.org/zh-cn/3/library/concurrent.futures.html