concurrency

Example

Here’s a simple example using Python’s asyncio module to run two tasks concurrently:

>>> import asyncio

>>> async def task1():
...     for i in range(5):
...         print(f'Task 1 - Iteration {i}')
...         await asyncio.sleep(1)
...

>>> async def task2():
...     for i in range(5):
...         print(f'Task 2 - Iteration {i}')
...         await asyncio.sleep(1)
...

>>> async def main():
...     await asyncio.gather(task1(), task2())
...

>>> asyncio.run(main())
Task 1 - Iteration 0
Task 2 - Iteration 0
Task 1 - Iteration 1
Task 2 - Iteration 1
Task 1 - Iteration 2
Task 2 - Iteration 2
Task 1 - Iteration 3
Task 2 - Iteration 3
Task 1 - Iteration 4
Task 2 - Iteration 4

In this example, task1() and task2() run concurrently, allowing both tasks to perform their operations without blocking each other.

Related Resources

Course

Hands-On Python 3 Concurrency With the asyncio Module

Learn how to speed up your Python 3 programs using concurrency and the asyncio module in the standard library. See step-by-step how to leverage concurrency and parallelism in your own programs, all the way to building a complete HTTP downloader example app using asyncio and aiohttp.

advanced python

For additional information on related topics, take a look at the following resources:

• Speed Up Your Python Program With Concurrency (Tutorial)
• Speed Up Python With Concurrency (Course)
• Python 3.14 Release Candidate Lands: Faster Code, Smarter Concurrency (Tutorial)
• Python's asyncio: A Hands-On Walkthrough (Tutorial)
• An Intro to Threading in Python (Tutorial)
• Understanding Python's Global Interpreter Lock (GIL) (Course)
• Threading in Python (Course)
• Python Concurrency (Quiz)
• Python's asyncio: A Hands-On Walkthrough (Quiz)
• Python Threading (Quiz)