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.

Python's threading module provides a high-level interface for creating and manipulating threads in a portable and consistent way. Add your perspective. Help others by sharing more ...

In the realm of Python software development, two common approaches for managing concurrent operations are threading and asynchronous (async) programming. Both methods allow you to perform multiple ...

The GIL is controversial because it only allows one thread at a time to access the Python interpreter. This means that it’s often not possible for threads to take advantage of multi-core systems.

The threading module provides easy-to-use thread-based concurrency in Python. Unlike Python multiprocessing, the threading module is limited by the infamous Global Interpreter Lock (GIL). Critically, ...

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start.

This repository provides examples and explanations of multi-threading in Python. Multi-threading is a powerful technique that allows concurrent execution of multiple threads within a single program, ...

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 ...