“asyncio” provides asynchronous I/O in Python from "summary" of Fluent Python by Luciano Ramalho
Asynchronous I/O is a programming model that allows you to run multiple I/O-bound tasks concurrently within a single thread. This is especially useful for applications that spend a lot of time waiting for I/O operations to complete, such as network requests or reading from disk. Python's asyncio library provides a high-level interface for writing asynchronous code that is easy to read and maintain. With asyncio, you can define asynchronous functions using the async def syntax. These functions can contain await expressions, which allow the interpreter to pause the execution of the function while waiting for an I/O operation to complete. This allows other tasks to run in the meantime, making your code more efficient and responsive. To run asynchronous functions, you need to create an event loop using asyncio. get_event_loop(). You can then schedule tasks to run on the event loop using loop. create_task(). The event loop will run these tasks concurrently, pausing and resuming them as needed to handle I/O operations. One of the key features of asyncio is its support for coroutines. Coroutines are functions that can be paused and resumed, making them ideal for asynchronous programming. You can define coroutines using the async def syntax, and then run them on the event loop using loop. run_until_complete() or loop. create_task().- Asyncio provides a powerful and efficient way to write asynchronous I/O code in Python. By allowing you to run multiple tasks concurrently within a single thread, asyncio can help you build fast and responsive applications that make the most of your system's resources. Whether you're building a web server, a network client, or a data processing pipeline, asyncio can help you write code that is both simple to understand and efficient to run.
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