


What are the commonly used high-concurrency web frameworks in Python?
There are many web service high-concurrency frameworks in Python, the most popular and commonly used ones include Tornado, Gunicorn, Gevent and Asyncio. In this article, these frameworks are described in detail and specific code examples are provided to illustrate their usage and advantages.
- Tornado:
Tornado is a high-performance web framework written in Python, which is famous for its very powerful asynchronous IO capabilities. It is designed to handle a large number of concurrent connections and is suitable for building high-performance web services, web applications and real-time web applications. Here is a simple example written using Tornado:
import tornado.ioloop import tornado.web class MainHandler(tornado.web.RequestHandler): def get(self): self.write("Hello, Tornado!") def make_app(): return tornado.web.Application([ (r"/", MainHandler), ]) if __name__ == "__main__": app = make_app() app.listen(8888) tornado.ioloop.IOLoop.current().start()
- Gunicorn:
Gunicorn is a Python-based WSGI HTTP server for running Python web applications. It uses a pre-fork worker model and can handle a large number of concurrent requests. Here is an example using Gunicorn:
gunicorn app:app -c gunicorn.conf.py
Where app is a Python module and the app variable is the WSGI application object. gunicorn.conf.py is a configuration file, for example:
bind = "127.0.0.1:8000" workers = 4
- Gevent:
Gevent is a Python-based coroutine library that provides fast and efficient concurrent programming capabilities. It uses green threads (greenlets) and event loop mechanisms to easily write concurrent network servers and clients. The following is an example using Gevent:
from gevent.pywsgi import WSGIServer def application(environ, start_response): start_response('200 OK', [('Content-type', 'text/html')]) return ['Hello, Gevent!'] if __name__ == '__main__': http_server = WSGIServer(('0.0.0.0', 8000), application) http_server.serve_forever()
- Asyncio:
Asyncio is a standard library introduced in Python version 3.4 for writing asynchronous IO code. It provides a coroutine-based concurrent programming model that can easily implement efficient asynchronous IO operations. The following is a simple example written using Asyncio:
import asyncio from aiohttp import web async def hello(request): return web.Response(text="Hello, Asyncio!") app = web.Application() app.router.add_get('/', hello) if __name__ == '__main__': web.run_app(app)
The above are some commonly used high-concurrency frameworks for web services in Python. Each framework has its own unique characteristics and usage. Based on project needs and personal preferences, you can choose an appropriate framework to build high-concurrency web services. Through the above code examples, I hope readers can better understand and master the usage and advantages of these frameworks.
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