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

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

In Python, sync context managers are used with the 'with' statement to manage resources synchronously, while async context managers allow for asynchronous resource management using 'async with'.

Can you give me an example of each?

Sure! A sync context manager example is opening a file:

with open('file.txt') as f:
    data = f.read()

An async context manager example is using an async database connection:

async with async_db.connect() as conn:
    await conn.execute('SELECT * FROM table')

When should I use async context managers?

Use async context managers when dealing with I/O-bound operations, like network requests or database queries, to avoid blocking the event loop.

Are there any limitations to using async context managers?

Yes, async context managers can only be used in an asynchronous function or coroutine, and they require an event loop to run.