Table of Contents
What is asyncio?
Benefits of asyncio
Demo code
in conclusion
Home Backend Development Python Tutorial Getting started with Python asyncio: Writing concurrent code in an elegant way

Getting started with Python asyncio: Writing concurrent code in an elegant way

Mar 04, 2024 am 09:20 AM
Concurrent requests standard library

Python asyncio 入门:用优雅的方式编写并发代码

In today’s fast-paced digital world, building high-performance, responsive applications is critical. The python asyncio module provides an elegant way for developers to write concurrent code that takes full advantage of modern multi-core processors . By using non-blocking I/O and an event loop, asyncio can handle large numbers of concurrent requests without sacrificing responsiveness.

What is asyncio?

asyncio is a Python standard library module for writing asynchronous code. It is built on top of an event loop, which is responsible for scheduling and processing events. When an operation (such as a network request) needs to wait, asyncio does not block the event loop, but registers a callback function and calls the function after the operation is completed.

Benefits of asyncio

Using asyncio has several significant benefits:

  • Concurrency: asyncio allows you to write concurrent code even without multithreading or multiple processes. It manages different tasks through an event loop to maximize resource utilization.
  • Non-blocking I/O: asyncio uses non-blocking I/O operations, which means that the application does not block waiting for I/O operations (such as network requests).
  • Scalability: The asyncio module is highly scalable, allowing you to handle a large number of concurrent connections.
  • Code Clarity: Asyncio code is generally cleaner and easier to maintain than using threads or processes. This is mainly due to the single-threaded nature of the event loop.

asyncio Getting Started

To use asyncio in project, use the following steps:

  1. Install asyncio module: pip install asyncio
  2. Create an event loop: loop = asyncio.get_event_loop()
  3. Create a coroutine: A coroutine is a special case of asynchronous functions in asyncio, defined by async def.
  4. Scheduling a coroutine: loop.run_until_complete(coroutine())

Demo code

The following code snippet demonstrates how to use asyncio for a simple WEB Server:

import asyncio

async def handle_request(reader, writer):
data = await reader.read(100)
message = f"Received: {data.decode()}"
writer.write(message.encode())

async def main():
server = await asyncio.start_server(handle_request, "127.0.0.1", 8888)

async with server:
await server.serve_forever()

asyncio.run(main())
Copy after login

In this example, handle_request() The coroutine handles the request from the client. main() The coroutine creates and starts the server. asyncio.run(main()) Starts the event loop and runs the main() coroutine.

in conclusion

The

Python asyncio module is a powerful tool that enables developers to write concurrent code that takes full advantage of multi-core processors. Asyncio improves application performance and scalability by providing non-blocking I/O and an event loop. asyncio is a valuable resource for developers looking to build high-performance, responsive applications.

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