Extending and Embedding the Python Interpreter
Contents
Front Matter
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
1.10.1 Reference Counting in Python
1.10.2 Ownership Rules
1.10.3 Thin Ice
1.10.4 NULL Pointers
1.11 Writing Extensions in C++
1.12 Providing a C API for an Extension Module
2. Defining New Types
2.1 The Basics
2.1.1 Adding data and methods to the Basic example
2.1.2 Providing finer control over data attributes
2.1.3 Supporting cyclic garbage collection
2.2 Type Methods
2.2.1 Finalization and De-allocation
2.2.2 Object Presentation
2.2.3 Attribute Management
2.2.4 Object Comparison
2.2.5 Abstract Protocol Support
2.2.6 More Suggestions
3. Building C and C++ Extensions with distutils
3.1 Distributing your extension modules
4. Building C and C++ Extensions on Windows
4.1 A Cookbook Approach
4.2 Differences Between Unix and Windows
4.3 Using DLLs in Practice
5. Embedding Python in Another Application
5.1 Very High Level Embedding
5.2 Beyond Very High Level Embedding: An overview
5.3 Pure Embedding
5.4 Extending Embedded Python
5.5 Embedding Python in C++
5.6 Linking Requirements
A. Reporting Bugs
B. History and License
B.1 History of the software
B.2 Terms and conditions for accessing or otherwise using Python
B.3 Licenses and Acknowledgements for Incorporated Software
B.3.1 Mersenne Twister
B.3.2 Sockets
B.3.3 Floating point exception control
B.3.4 MD5 message digest algorithm
B.3.5 Asynchronous socket services
B.3.6 Cookie management
B.3.7 Profiling
B.3.8 Execution tracing
B.3.9 UUencode and UUdecode functions
B.3.10 XML Remote Procedure Calls
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Extending and Embedding the Python Interpreter
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Release 2.4c1, documentation updated on 18 November 2004.
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