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
Build Requirements: Features and minimum versions required to build CPython: A C11 compiler. Optional C11 features are not required., On Windows, Microsoft Visual Studio 2017 or later is required.,...| Python documentation
Source code: Lib/threading.py This module constructs higher-level threading interfaces on top of the lower level_thread module. CPython implementation detail: In CPython, due to the Global Interpre...| Python documentation
Source code: Lib/inspect.py The inspect module provides several useful functions to help get information about live objects such as modules, classes, methods, functions, tracebacks, frame objects, ...| Python documentation
The CPython interpreter scans the command line and the environment for various settings. CPython implementation detail: Other implementations’ command line schemes may differ. See Alternate Impleme...| Python documentation
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
The following sections describe the standard types that are built into the interpreter. The principal built-in types are numerics, sequences, mappings, classes, instances and exceptions. Some colle...| Python documentation
CPython’s global interpreter lock (“GIL”) prevents multiple threads from executing Python code at the same time. The GIL is an obstacle to using multi-core CPUs from Python efficiently. This PEP proposes adding a build configuration (--disable-gil) to...| Python Enhancement Proposals (PEPs)
In order to perform well, virtual machines for dynamic languages must specialize the code that they execute to the types and values in the program being run. This specialization is often associated with “JIT” compilers, but is beneficial even without ma...| Python Enhancement Proposals (PEPs)
Objects, values and types: Objects are Python’s abstraction for data. All data in a Python program is represented by objects or by relations between objects. (In a sense, and in conformance to Von ...| Python documentation
