What are the best practices for concurrent processing in Python?

What are the best practices for concurrent processing in Python?

Some best practices include using the concurrent.futures module, managing thread safety, and avoiding global variables.

Can you explain how to use the ThreadPoolExecutor?

Sure! ThreadPoolExecutor allows you to manage a pool of threads. You can submit tasks to it and it will handle the threading for you.

What about using asyncio for concurrency?

asyncio is great for I/O-bound tasks. It uses an event loop to manage asynchronous tasks, making it efficient for handling many connections.

Are there any common pitfalls to avoid?

Yes, common pitfalls include not handling exceptions properly, blocking the event loop, and not using thread-safe data structures.