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.

The single biggest new feature in Python 3.13 is something Python users have anticipated for ages: a version of Python that allows full concurrency, or multi-threading, by removing the Global ...

Python multithreading. Guided by this logic, Python inventor Guido van Rossum architected all of Python’s multithreading capabilities around the fatally flawed assumption that computers of the future ...

Well, Python provides threading. Many people think of Python's threads as fatally flawed, because only one thread actually can execute at a time, thanks to the GIL (global interpreter lock). This is ...

Ruby and Python's standard implementations make use of a Global Interpreter Lock. Justin James explains the major advantages and downsides of the GIL mechanism. Multithreading and parallel ...

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.

Multithreading and Python's global interpreter lock. The global interpreter lock (GIL) in Python enables the interpreter to easily and safely manage memory, or Python objects. However, the GIL causes ...

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, ...