Async/Await in Python

Learn how to use Python’s powerful asynchronous programming features to write concurrent and parallel code

ML Musings
3 min readJan 28, 2023
Photo by James Harrison on Unsplash

Python is a popular programming language known for its simplicity and ease of use. However, with the increasing need for concurrent and parallel processing, Python has also introduced several features for asynchronous programming. In this article, we will give an overview of Python’s asynchronous programming features and how to use them to write asynchronous code.

One of the most important features for asynchronous programming in Python is the async/await syntax. The async keyword is used to define an asynchronous function, and the await keyword is used to call an asynchronous function and wait for its result. Here is an example of an asynchronous function using the async/await syntax:

import asyncio

async def my_async_function():
print("Starting async function")
await asyncio.sleep(1)
print("Async function finished")

loop = asyncio.get_event_loop()
loop.run_until_complete(my_async_function())

In this example, the my_async_function() is defined as asynchronous using the async keyword. Inside the function, we use the await keyword to call the asyncio.sleep() function, which is an asynchronous version of the time.sleep() function. This allows…

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ML Musings
ML Musings

Written by ML Musings

✨ I enjoy pushing the boundaries of JS, Python, SwiftUI and AI. You can support my work through coffee - www.buymeacoffee.com/MLMusings

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