How can I improve the performance of my Python threads?

How can I improve the performance of my Python threads?

To improve Python thread performance, consider using the concurrent.futures module for better management.

What are some common pitfalls when using threads in Python?

Common pitfalls include the Global Interpreter Lock (GIL), which can limit true parallelism, and race conditions.

Are there alternatives to threading for concurrent execution?

Yes, you can use multiprocessing or asynchronous programming with asyncio for better performance in I/O-bound tasks.

How does the GIL affect multi-threading in Python?

The GIL allows only one thread to execute at a time in CPython, which can hinder performance in CPU-bound tasks.