How to use asyncio in Python

Take advantage of the high-level async functions in Python’s asyncio library to write more efficient Python applications

How to use asyncio in Python
raspirator / Getty Images

Python’s asynchronous programming functionality, or async for short, allows you to write programs that get more work done by not waiting for independent tasks to finish. The asyncio library included with Python gives you the tools to use async for processing disk or network I/O without making everything else wait.

asyncio provides two kinds of APIs for dealing with asynchronous operations: high-level and low-level. The high-level APIs are the most generally useful, and they’re applicable to the widest variety of applications. The low-level APIs are powerful, but also complex, and used less frequently.

We’ll concentrate on the high-level APIs in this article. In the sections below, we’ll walk through the most commonly used high-level APIs in asyncio, and show how they can be used for common operations involving asynchronous tasks. 

If you’re completely new to async in Python, or you could use a refresher on how it works, read my introduction to Python async before diving in here.

Run coroutines and tasks in Python

To continue reading this article register now