asynchronous generator
In Python, an asynchronous generator is a function defined with the async def
and yield
statements that returns an asynchronous generator iterator. This iterator produces values asynchronously.
Asynchronous generators are particularly useful in scenarios where you need to handle asynchronous data streams efficiently.
Example
Here’s an example of an asynchronous generator function:
>>> import asyncio
>>> async def async_generator():
... for i in range(5):
... await asyncio.sleep(1) # Simulate an async tasks
... yield i
...
>>> async def main():
... async for value in async_generator():
... print(value)
...
>>> asyncio.run(main())
0
1
2
3
4
In this example, async_generator()
is an asynchronous generator. It returns an asynchronous generator iterator that yields numbers from 0
to 4
with a delay of one second between each. The async for
loop in main()
consumes the values the iterator produces.
Related Resources
Tutorial
Asynchronous Iterators and Iterables in Python
In this tutorial, you'll learn how to create and use asynchronous iterators and iterables in Python. You'll explore their syntax and structure and discover how they can be leveraged to handle asynchronous operations more efficiently.
For additional information on related topics, take a look at the following resources:
- How to Use Generators and yield in Python (Tutorial)
- Getting Started With Async Features in Python (Tutorial)
- Async IO in Python: A Complete Walkthrough (Tutorial)
- Asynchronous Iterators and Iterables in Python (Quiz)
- Python Generators 101 (Course)
- How to Use Generators and yield in Python (Quiz)
- Getting Started With Async Features in Python (Quiz)
- Hands-On Python 3 Concurrency With the asyncio Module (Course)
- Async IO in Python: A Complete Walkthrough (Quiz)