How can I optimize threading in Python for better performance?

How can I optimize threading in Python for better performance?

You can optimize threading in Python by using the threading module effectively, minimizing context switching, and using thread pools.

What are some common pitfalls to avoid when using threads?

Common pitfalls include race conditions, deadlocks, and excessive context switching. Always ensure proper synchronization.

Can you explain how to use the concurrent.futures module?

Certainly! The concurrent.futures module provides a high-level interface for asynchronously executing callables using threads or processes.

Are there any performance benchmarks comparing threading and multiprocessing?

Yes, benchmarks often show that for I/O-bound tasks, threading can be more efficient, while for CPU-bound tasks, multiprocessing is usually better.