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GeezerVison is showing python.github.io — 擴充和嵌入 Python 直譯器 — Python 3.15.2 說明文件 擴充和嵌入 Python 直譯器¶This document describes how to write modules in C or C++ to extend the Python interpreter with new modules. Those modules can do what Python code does -- define functions, object types and methods -- but also interact with native libraries or achieve better performance by avoiding the overhead of an interpreter. 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. 這份說明文件假設你具備 C 和 Python 的基礎知識。關於 Python 的非正式介紹，請參閱 Python 教學。Python 語言參考手冊給予此語言更為正式的定義。Python built-ins reference記錄了內建函式與物件型別，而 Python 標準函式庫 (Standard Library)則記錄了賦予此語言廣泛應用範圍的模組（包含內建模組與以 Python 撰寫的模組）。 關於完整的 Python/C API 詳細介紹，請參閱另外一份 Python/C API 參考手冊。 To support extensions, Python's C API (Application Programmers Interface)
defines a set of functions, macros and variables that provide access to most
aspects of the Python run-time system. The Python API is incorporated in a C
source file by including the header 備註 The C extension interface is specific to CPython, and extension modules do
not work on other Python implementations. In many cases, it is possible to
avoid writing C extensions and preserve portability to other implementations.
For example, if your use case is calling C library functions or system calls,
you should consider using the 推薦的第三方工具¶This document only covers the basic tools for creating extensions provided as part of this version of CPython. Some third party tools offer both simpler and more sophisticated approaches to creating C and C++ extensions for Python. While this document is aimed at extension authors, it should also be helpful to the authors of such tools. For example, the tutorial module can serve as a simple test case for a build tool or sample expected output of a code generator. C API Tutorial¶This tutorial describes how to write a simple module in C or C++, using the Python C API -- that is, using the basic tools provided as part of this version of CPython. Guides for intermediate topics¶本指南中的這一節將說明，在沒有第三方工具的協助下，如何建立 C 和 C ++ 擴充。它主要是寫給使用那些工具的創作者們，而不是讓你建立自己的 C 擴充的推薦方法。 在更大的應用程式中嵌入 CPython 運行環境 (runtime)¶有時候，相較於建立一個擴充，使其在 Python 直譯器中可作為主應用程式運行，還不如將 CPython 運行環境嵌入至一個更大的應用程式中更可取。本節將涵蓋一些要成功完成此任務所涉及的細節。 |
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