Python asynchronous programming: from entry to proficiency, become an asynchronous programming master

1. What is Python asynchronous programming?

pythonAsynchronousProgramming is a programming technology that achieves concurrency and high performance through coroutines and event drivers. A coroutine is a function that allows a function to continue execution after being paused. When a coroutine is suspended, its state and local variables are saved so that execution can be resumed when it is called again. Event-driven is a programming style that responds to events. In an event-driven program, when an event occurs, the program executes the corresponding event handler.

2. Coroutines and event drivers

Coroutines and event-driven are the two core technologies of asynchronous programming. Coroutines allow a function to continue execution after being paused, while event-driven allows a program to respond to events. These two technologies can be combined well to implement high-performance concurrent programs.

3. Advantages of Python asynchronous programming

PythonAsynchronous programming has the following advantages:

• Concurrency: Asynchronous programming can realize Concurrent programming, that is, multiple tasks can be executed at the same time at one time. This can improve the performance of your program, especially when handling large amounts of requests or data.
• High performance: Asynchronous programming can improve the performance of the program because coroutines and event drivers can avoid blocking in traditional synchronous programming.
• Scalability: Asynchronous programming can improve the scalability of a program because asynchronous programs can be easily expanded to more concurrent tasks.
• Easy to develop: The api of Python asynchronous programming is very simple and easy to use, which makes developing asynchronous programs easy.

4. Application scenarios of asynchronous programming

Asynchronous programming can be applied to various scenarios, including:

• Web Development: Asynchronous programming is ideal for web development because it can improve the performance and scalability of the WEBserver.
• Network Programming: Asynchronous programming is also very suitable for network programming because it enables high-performance network communication.
• Data processing: Asynchronous programming can also be used for data processing because it can improve the speed and efficiency of data processing.

5. How to learn Python asynchronous programming

If you want to learn asynchronous programming in Python, you can refer to the following resources:

• Official Document
• Tutorial
• books

6.Demo code

import asyncio

async def main():
print("Hello, world!")

asyncio.run(main())

This code demonstrates how to use Python asynchronous programming to write a simple program. This program first defines a coroutine function main(), and then uses the asyncio.run() function to run the coroutine. When the main() function is run, it prints "Hello, world!".

The above is the detailed content of Python asynchronous programming: from entry to proficiency, become an asynchronous programming master. For more information, please follow other related articles on the PHP Chinese website!