What are some common mistakes in Python threading?

What are some common mistakes in Python threading?

Some common mistakes include not using locks, creating too many threads, and not handling exceptions properly.

Can you explain why using locks is important?

Using locks is crucial to prevent race conditions, which occur when multiple threads access shared data simultaneously.

What happens if I create too many threads?

Creating too many threads can lead to increased context switching, which can degrade performance and exhaust system resources.

How can I handle exceptions in threads?

You can handle exceptions in threads by using try-except blocks within the thread's target function.

Are there any best practices for using threading in Python?

Yes, some best practices include using the threading module, limiting the number of threads, and using thread pools.