2-Minute Python Guide: asyncio Basics (2026)

2-Minute Python Guide: asyncio Basics

Asynchronous programming is a powerful tool in Python, and asyncio is the library that makes it possible. In this guide, we'll cover the basics of asyncio and how to use it to write efficient asynchronous code.

Async Functions

To define an asynchronous function, use the async def syntax. This tells Python that the function is asynchronous and can be paused and resumed at specific points.

Await Expression

The await expression is used to pause the execution of an asynchronous function until a result is available. It's used to wait for the completion of a task or a coroutine.

Running Async Code

To run asynchronous code, you need to use asyncio.run(). This function takes an asynchronous function as an argument and runs it until completion.

Concurrent Execution

asyncio.gather() is used to run multiple asynchronous functions concurrently. It takes a list of awaitables as an argument and returns a list of results.

Example

import asyncio

async def hello(name):
    await asyncio.sleep(1)
    print(f"Hello, {name}!")

async def main():
    await asyncio.gather(hello("Alice"), hello("Bob"))

asyncio.run(main())

In this example, hello("Alice") and hello("Bob") are run concurrently using asyncio.gather().

Takeaway

Asynchronous programming with asyncio can significantly improve the performance of your Python applications. By using async def, await, asyncio.run(), and asyncio.gather(), you can write efficient and concurrent code that takes advantage of asynchronous execution. Start using asyncio today and see the difference it can make in your applications!

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