Memperluas dan Menggabungkan Interpreter Python

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 Tutorial Python. Referensi Bahasa Python gives a more formal definition of the language. Pustaka Standar Python documents the existing object types, functions and modules (both built-in and written in Python) that give the language its wide application range.

Untuk deskripsi terperinci dari keseluruhan API Python/C, lihat bagian terpisah Python/C API reference manual.

Alat pihak ketiga yang direkomendasikan

This guide 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.

Creating extensions without third party tools

Bagian panduan ini mencakup pembuatan ekstensi C dan C++ tanpa bantuan dari alat pihak ketiga. Ini dimaksudkan terutama untuk pembuat alat-alat itu, daripada menjadi cara yang disarankan untuk membuat ekstensi C Anda sendiri.

Lihat juga

PEP 489 -- Multi-phase extension module initialization

• 1. Extending Python with C or C++
  • 1.1. A Simple Example
  • 1.2. Intermezzo: Errors and Exceptions
  • 1.3. Back to the Example
  • 1.4. The Module's Method Table and Initialization Function
  • 1.5. Compilation and Linkage
  • 1.6. Calling Python Functions from C
  • 1.7. Extracting Parameters in Extension Functions
  • 1.8. Keyword Parameters for Extension Functions
  • 1.9. Building Arbitrary Values
  • 1.10. Reference Counts
  • 1.11. Writing Extensions in C++
  • 1.12. Providing a C API for an Extension Module
• 2. Mendefinisikan Tipe Ekstensi: Tutorial
  • 2.1. Bagian Dasar
  • 2.2. Adding data and methods to the Basic example
  • 2.3. Providing finer control over data attributes
  • 2.4. Supporting cyclic garbage collection
  • 2.5. Subclassing other types
• 3. Defining Extension Types: Assorted Topics
  • 3.1. Finalization and De-allocation
  • 3.2. Object Presentation
  • 3.3. Attribute Management
  • 3.4. Object Comparison
  • 3.5. Abstract Protocol Support
  • 3.6. Weak Reference Support
  • 3.7. More Suggestions
• 4. Building C and C++ Extensions
  • 4.1. Building C and C++ Extensions with setuptools
• 5. Membangun Ekstensi C dan C++ di Windows
  • 5.1. A Cookbook Approach
  • 5.2. Differences Between Unix and Windows
  • 5.3. Using DLLs in Practice

Menggabungkan runtime CPython di aplikasi yang lebih besar

Terkadang, alih-alih membuat ekstensi yang berjalan di dalam interpreter Python sebagai aplikasi utama, lebih baik menanamkan runtime CPython di dalam aplikasi yang lebih besar. Bagian ini mencakup beberapa detail yang terlibat dalam melakukan hal itu dengan sukses.

• 1. Embedding Python in Another Application
  • 1.1. Very High Level Embedding
  • 1.2. Beyond Very High Level Embedding: An overview
  • 1.3. Pure Embedding
  • 1.4. Extending Embedded Python
  • 1.5. Embedding Python in C++
  • 1.6. Compiling and Linking under Unix-like systems