What are the best practices for using the Python threading library?

What are the best practices for using the Python threading library?

When using the Python threading library, it's important to follow best practices like avoiding shared state, using locks, and keeping threads lightweight.

Can you explain why avoiding shared state is important?

Avoiding shared state helps prevent race conditions and makes your code easier to understand and maintain.

What are some common mistakes to avoid when using threading?

Common mistakes include not using locks properly, creating too many threads, and failing to handle exceptions in threads.

How can I debug threading issues in my application?

You can use logging to track thread activity, and tools like threading module's active_count() to monitor thread states.