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 AsyncResource:
    async def __aenter__(self):
        print('Acquiring resource...')
        return self
    
    async def __aexit__(self, exc_type, exc_val, exc_tb):
        print('Releasing resource...')

async def main():
    async with AsyncResource() as resource:
        print('Using resource...')

asyncio.run(main())

What happens if an error occurs while using the resource?

If an error occurs, the __aexit__ method will still be called, allowing for proper cleanup.

Are there any performance benefits to using async context managers?

Yes, they can improve performance by allowing other tasks to run while waiting for resources, enhancing concurrency.