What is the difference between context managers and async context managers in Python?

What is the difference between context managers and async context managers in Python?

Context managers are used for resource management, ensuring resources are properly acquired and released. Async context managers, introduced in Python 3.5, allow for asynchronous resource management, enabling the use of 'await' within their context.

Can you give me an example of each?

Sure! A context manager example is using 'with open(file) as f:'. An async context manager example is 'async with aiofiles.open(file) as f:'.

When should I use async context managers?

Use async context managers when dealing with I/O-bound tasks that can benefit from asynchronous execution, like file operations or network requests.

Are there any performance benefits to using async context managers?

Yes, async context managers can improve performance by allowing other tasks to run while waiting for I/O operations to complete, thus making better use of resources.