python计数代码执行速度

安装插件tqdm，可以看代码的执行速度

from tqdm import tqdm
import time

'''第一种方式'''
time_tqdm = tqdm(total=100)
for i in range(100):
    time_tqdm.update(1)
    time.sleep(0.05)

'''第二种方式'''
for i in tqdm(range(100)):
    time.sleep(0.05)

在代码之前加入一个装饰器

import time
import timeit
from loguru import logger


def time_count(func):
    def test(index):
        start_time = time.time()
        func(index)
        end_time = time.time()
        logger.debug(end_time - start_time)
    return test


@time_count
def fun(index):
    print(index)
    time.sleep(3)


from concurrent.futures import ThreadPoolExecutor

thread_pool = ThreadPoolExecutor(max_workers=200)
for i in range(300):
    thread_pool.submit(fun, i)
thread_pool.shutdown(wait=True)

用代码的执行速度 * 代码的线程数，即为处理速度

添加一个watchpoint

pip install watchpoints

import time
import watchpoints
data = time.time()
watchpoints.watch(data)
data = time.time()