This document describes how to write modules in C or C++ to extend the Python interpreter with new modules. Those modules can not only define new functions but also new object types and their methods. The document also describes how to embed the Python interpreter in another application, for use as an extension language. Finally, it shows how to compile and link extension modules so that they can be loaded dynamically (at run time) into the interpreter, if the underlying operating system supports this feature.
This document assumes basic knowledge about Python. For an informal introduction to the language, see Python 教程 . Python 语言参考 gives a more formal definition of the language. Python 标准库 documents the existing object types, functions and modules (both built-in and written in Python) that give the language its wide application range.
For a detailed description of the whole Python/C API, see the separate Python/C API 参考手册 .
此指南仅涵盖属于此版本 CPython 所提供的用于创建扩展的基本工具。第三方工具像 Cython , cffi , SWIG and Numba 提供了为 Python 创建 C/C++ 扩展的更简单 更成熟途径。
另请参阅
This section of the guide covers creating C and C++ extensions without assistance from third party tools. It is intended primarily for creators of those tools, rather than being a recommended way to create your own C extensions.
Sometimes, rather than creating an extension that runs inside the Python interpreter as the main application, it is desirable to instead embed the CPython runtime inside a larger application. This section covers some of the details involved in doing that successfully.
