What are the common performance issues with Python threads?

What are the common performance issues with Python threads?

Common performance issues with Python threads include the Global Interpreter Lock (GIL), context switching overhead, and thread contention.

How does the GIL affect multi-threading in Python?

The GIL allows only one thread to execute Python bytecode at a time, which can limit the performance of CPU-bound multi-threaded programs.

Are there any ways to mitigate these performance issues?

Yes, you can use multiprocessing instead of threading for CPU-bound tasks, or optimize your code to reduce contention.

What about using async programming instead of threads?

Async programming can be more efficient for I/O-bound tasks, as it allows for non-blocking operations without the overhead of threads.