Perhaps one of the most important structures of the Python object system is the structure that defines a new type: the PyTypeObject structure. Type objects can be handled using any of the PyObject_...| Python documentation
Initializing C modules: Modules objects are usually created from extension modules (shared libraries which export an initialization function), or compiled-in modules (where the initialization funct...| Python documentation
CPython supports two different calling protocols: tp_call and vectorcall. The tp_call Protocol: Instances of classes that set tp_call are callable. The signature of the slot is: A call is made usin...| Python documentation
Unicode Objects: Since the implementation of PEP 393 in Python 3.3, Unicode objects internally use a variety of representations, in order to allow handling the complete range of Unicode characters ...| Python documentation
Creating Heap-Allocated Types: The following functions and structs are used to create heap types.| Python documentation
The functions and macros in this section are used for managing reference counts of Python objects.| Python documentation
There are a large number of structures which are used in the definition of object types for Python. This section describes these structures and how they are used. Base object types and macros: All ...| Python documentation
These functions are useful when creating your own extension functions and methods. Additional information and examples are available in Extending and Embedding the Python Interpreter. The first thr...| 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
Source code: Lib/ctypes ctypes is a foreign function library for Python. It provides C compatible data types, and allows calling functions in DLLs or shared libraries. It can be used to wrap these ...| 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
Certain objects available in Python wrap access to an underlying memory array or buffer. Such objects include the built-in bytes and bytearray, and some extension types like array.array. Third-part...| Python documentation
