What are common issues with threading in Python?

What are common issues with threading in Python?

Common issues with threading in Python include race conditions, deadlocks, and the Global Interpreter Lock (GIL). Would you like to know more about any specific issue?

Can you explain race conditions?

A race condition occurs when two or more threads access shared data and try to change it at the same time. This can lead to unpredictable results. It's important to use locks or other synchronization methods to prevent this.

What is the Global Interpreter Lock?

The Global Interpreter Lock (GIL) is a mutex that protects access to Python objects, preventing multiple threads from executing Python bytecodes simultaneously. This can limit the performance of CPU-bound multi-threaded programs.

How can I avoid deadlocks?

To avoid deadlocks, ensure that all threads acquire locks in a consistent order, use timeouts when acquiring locks, and avoid holding multiple locks at once whenever possible.