multiprocessing Module

The challenge of maximizing performance in Python often requires thinking outside the box. When your tasks are CPU-bound, using threads may not yield the performance boost you desire due to the Global Interpreter Lock (GIL).

This is where the multiprocessing module comes into play, allowing you to leverage multiple processes instead of threads.

Understanding this module opens up a world of possibilities for executing tasks concurrently, especially when you're dealing with heavy computations or I/O-bound tasks.