如何利用Python优化网站访问速度，从根源解决性能瓶颈？

import requestsimport geventfrom gevent import monkeymonkey.patch_all()def fetch(url):    response = requests.get(url)    print(response.text)urls = ['https://www.example.com', 'https://www.example2.com', 'https://www.example3.com']tasks = [gevent.spawn(fetch, url) for url in urls]gevent.joinall(tasks)

import redisfrom flask import Flask, requestapp = Flask(__name__)cache = redis.Redis(host='localhost', port=6379)@app.route('/')def index():    url = request.host_url + request.path    page_content = cache.get(url)    if page_content:        return page_content    else:        page_content = 'This is the content of the web page'        cache.set(url, page_content)        return page_contentif __name__ == '__main__':    app.run()

import asyncioimport aiohttpasync def fetch(session, url):    async with session.get(url) as response:        return await response.text()async def main():    urls = ['https://www.example.com', 'https://www.example2.com', 'https://www.example3.com']    async with aiohttp.ClientSession() as session:        tasks = [fetch(session, url) for url in urls]        results = await asyncio.gather(*tasks)        for result in results:            print(result)if __name__ == '__main__':    loop = asyncio.get_event_loop()    loop.run_until_complete(main())

import cProfilefrom myapp import appif __name__ == '__main__':    with cProfile.Profile() as pr:        app.run()    pr.print_stats()