Async programming is a way of writing concurrent code in a single-threaded environment. It allows you to write code that can perform multiple tasks concurrently, rather than waiting for one task to finish before starting the next. Async programming has become increasingly popular in recent years, as it allows you to build high-performance applications that can scale to handle a large number of concurrent connections.

Python has introduced several new features for async programming in recent versions, and it now has a full-featured async programming model. Python’s async model is based on the async/await syntax, which was introduced in Python 3.5. Async/await allows you to write asynchronous code in a way that looks and feels like synchronous code, making it easier to understand and work with.

To use async programming in Python, you need to use an async-compatible library or framework. There are many options to choose from, including asyncio (the built-in async library in Python), aiohttp (a library for async HTTP requests), and asyncpg (a library for async PostgreSQL database access). These libraries provide async versions of common functions and methods, such as sleep, read, and write, which allow you to write async code that can perform multiple tasks concurrently.

In conclusion, async programming is a powerful tool for building high-performance, scalable applications in Python. With the introduction of async/await in Python 3.5, it has become easier than ever to write async code in Python, and there are many libraries and frameworks available to help you get started.

References:

Python documentation on async programming: https://docs.python.org/3/library/asyncio.html
asyncio documentation: https://docs.python.org/3/library/asyncio.html
aiohttp documentation: https://aiohttp.readthedocs.io/en/stable/
asyncpg documentation: https://magicstack.github.io/asyncpg/

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