What are some common mistakes in Python multithreading?

What are some common mistakes in Python multithreading?

Some common mistakes include not using locks properly, creating too many threads, and not understanding the Global Interpreter Lock (GIL).

Can you explain how the Global Interpreter Lock affects multithreading?

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

What are locks and how should I use them?

Locks are synchronization primitives that prevent multiple threads from accessing shared resources simultaneously. Use them to protect critical sections of code.

Are there any alternatives to using threads in Python?

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