如何在python中提高发送请求的速度？_如何在Python中提高我的程序的速度？_如何在我的安卓应用中提高okHttp请求的速度？ - 腾讯云开发者社区

如何在python中提高发送请求的速度？

在Python中提高发送请求的速度可以通过多种方式实现，这里提供几种常见的方法：

1. 使用异步请求库

传统的HTTP请求库如requests是同步的，这意味着在等待服务器响应时，程序会被阻塞。使用异步请求库如aiohttp可以显著提高效率。

import aiohttp
import asyncio

async def fetch(session, url):
    async with session.get(url) as response:
        return await response.text()

async def main():
    urls = ['http://example.com' for _ in range(100)]
    async with aiohttp.ClientSession() as session:
        tasks = [fetch(session, url) for url in urls]
        responses = await asyncio.gather(*tasks)
        print(responses)

# Python 3.7+
asyncio.run(main())

2. 使用连接池

requests库支持通过Session对象复用连接，这样可以减少建立和关闭连接的开销。

import requests

session = requests.Session()
for _ in range(100):
    response = session.get('http://example.com')
    print(response.text)

3. 并发请求

使用concurrent.futures模块中的ThreadPoolExecutor或ProcessPoolExecutor可以并发执行多个请求。

import concurrent.futures
import requests

def fetch(url):
    response = requests.get(url)
    return response.text

urls = ['http://example.com' for _ in range(100)]

with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
    futures = {executor.submit(fetch, url): url for url in urls}
    for future in concurrent.futures.as_completed(futures):
        url = futures[future]
        try:
            data = future.result()
        except Exception as exc:
            print(f'{url} generated an exception: {exc}')
        else:
            print(f'{url} page length: {len(data)}')