What are some tips for async programming in Python 3.10?

What are some tips for async programming in Python 3.10?

Here are a few tips for async programming in Python 3.10:

1. Use async and await keywords effectively.
2. Leverage asyncio for managing asynchronous tasks.
3. Utilize asyncio.run() to execute your main coroutine.
4. Consider using asyncio.gather() for running multiple coroutines concurrently.

Can you explain how asyncio.gather() works?

Certainly! asyncio.gather() is used to run multiple asynchronous tasks concurrently. It takes in multiple awaitable objects and returns a single future that resolves when all the awaitables are done. This allows you to run tasks in parallel and wait for their results.

What are some common pitfalls in async programming?

Some common pitfalls include:

1. Forgetting to use await which can lead to unexpected behavior.
2. Blocking the event loop with synchronous code.
3. Not handling exceptions properly in coroutines.

How can I debug async code in Python?

You can debug async code using tools like pdb or logging. Additionally, using asyncio.run() in a main function can help isolate issues. Consider adding logging statements to track the flow of execution.