How async/await works in Python

Mark functions as async . Call them with await . All of a sudden, your program becomes asynchronous – it can do useful things while it waits for other things, such as I/O operations, to complete. Code written in the async / await style looks like regular synchronous code but works very differently. To understand how it works, one should be familiar with many non-trivial concepts including concurrency, parallelism, event loops, I/O multiplexing, asynchrony, cooperative multitasking and coroutines. Python's implementation of async / await adds even more concepts to this list: generators, generator-based coroutines, native coroutines, yield and yield from . Because of this complexity, many Python programmers that use async / await do not realize how it actually works. I believe that it should not be the case. The async / await pattern can be explained in a simple manner if you start from the ground up. And that's what we're going to do today. Note: In this post I'm referring to CPython ... Read full article.