This PEP proposes to add a way for CPython extension methods to access context, such as the state of the modules they are defined in.| Python Enhancement Proposals (PEPs)
Starting with the 3.13 release, CPython has experimental support for running with the global interpreter lock(GIL) disabled in a configuration called free threading. This document describes how to ...| Python documentation
PyGILState_Ensure(), PyGILState_Release(), and other related functions in the PyGILState family are the most common way to create native threads that interact with Python. They have been the standard for over twenty years (PEP 311). But, over time, thes...| Python Enhancement Proposals (PEPs)
As you probably know, the GIL stands for the Global Interpreter Lock, and its job is to make the CPython interpreter thread-safe. The GIL allows...| tenthousandmeters.com
The previous chapters discussed how to extend Python, that is, how to extend the functionality of Python by attaching a library of C functions to it. It is also possible to do it the other way arou...| Python documentation
System Functions: These are utility functions that make functionality from the sys module accessible to C code. They all work with the current interpreter thread’s sys module’s dict, which is conta...| Python documentation
Python can be initialized with Py_InitializeFromConfig() and the PyConfig structure. It can be preinitialized with Py_PreInitialize() and the PyPreConfig structure. There are two kinds of configura...| Python documentation
This PEP proposes to add a new module, interpreters, to support inspecting, creating, and running code in multiple interpreters in the current process. This includes Interpreter objects that represent the underlying interpreters. The module will also ...| Python Enhancement Proposals (PEPs)
Since Python 1.5 (1997), CPython users can run multiple interpreters in the same process. However, interpreters in the same process have always shared a significant amount of global state. This is a source of bugs, with a growing impact as more and mo...| Python Enhancement Proposals (PEPs)
This module provides access to some variables used or maintained by the interpreter and to functions that interact strongly with the interpreter. It is always available. Unless explicitly noted oth...| Python documentation
Editor, Raymond Hettinger,. This article explains the new features in Python 3.8, compared to 3.7. Python 3.8 was released on October 14, 2019. For full details, see the changelog. Summary – Releas...| Python documentation
Editor, Adam Turner,. This article explains the new features in Python 3.12, compared to 3.11. Python 3.12 was released on October 2, 2023. For full details, see the changelog. Summary – Release hi...| Python documentation
In CPython, the global interpreter lock, or GIL, is a mutex that protects access to Python objects, preventing multiple threads from executing Python bytecodes at once. The GIL prevents race conditions and ensures thread safety. A nice explanation of how the Python GIL helps in these areas can be found here. In short, this mutex is necessary mainly because CPython's memory management is not thread-safe. | wiki.python.org
