What are the best practices for concurrency in Python?

What are the best practices for concurrency in Python?

Some best practices include using the asyncio library for asynchronous programming, leveraging threading for I/O-bound tasks, and using multiprocessing for CPU-bound tasks.

Can you explain how asyncio works?

asyncio is a library that allows you to write concurrent code using the async and await syntax, enabling you to run multiple tasks seemingly at the same time.

What are some common pitfalls to avoid with concurrency?

Common pitfalls include race conditions, deadlocks, and not properly managing shared resources. It's crucial to use locks and other synchronization mechanisms.

How do I choose between threading and multiprocessing?

Choose threading for I/O-bound tasks where you wait for external resources, and multiprocessing for CPU-bound tasks that require heavy computation.