This is an example of when the threading module’s multitude of options could be useful: we can mark the updater thread as a daemon thread, which means that Python will exit when only daemon ...

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13.

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'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 introduced a special ‘free-threading’ or ‘no-GIL’ build of the interpreter to allow full parallelism with Python threads, but it’s still considered an experimental feature.

Python can’t thread across cores. Python apps can do a multithreading, but those threads can’t run across cores. It all happens on a single, solitary CPU, no matter how many CPUs exist in the system.