Python provides two ways to work around this issue: threading and multiprocessing. Each approach allows you to break a long-running job into parallel batches, which you can work on side-by-side.

Advantages of Python multiprocessing. With threading and coroutines, the Python runtime forces all operations to run serially, the better to manage access to any Python objects.

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

Python 3.13: Better interactive shell and finally multithreading without GIL The new Python release features an interactive command line and allows the global interpreter lock to be deactivated.