What are the benefits of using async context managers in Python?

What are the benefits of using async context managers in Python?

Async context managers allow for asynchronous resource management, making code cleaner and more efficient.

Can you give me an example of how to use one?

Sure! Here's a simple example:

import asyncio

class AsyncContext:
    async def __aenter__(self):
        print('Entering the context')
        return self

    async def __aexit__(self, exc_type, exc_val, exc_tb):
        print('Exiting the context')

async def main():
    async with AsyncContext():
        print('Inside the context')

asyncio.run(main())

What makes them better than regular context managers?

They allow for non-blocking operations, which is crucial in I/O-bound applications, improving performance.

Are there any limitations to using async context managers?

Yes, they can only be used in asynchronous functions, and not all libraries support async operations.