Extending and Embedding the Python Interpreter

2. Defining New Types

As mentioned in the last chapter, Python allows the writer of an extension module to define new types that can be manipulated from Python code, much like strings and lists in core Python.

This is not hard; the code for all extension types follows a pattern, but there are some details that you need to understand before you can get started.

• 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
    • 2.2.3.1 Generic Attribute Management
    • 2.2.3.2 Type-specific Attribute Management
  • 2.2.4 Object Comparison
  • 2.2.5 Abstract Protocol Support
  • 2.2.6 More Suggestions

Extending and Embedding the Python Interpreter

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Release 2.4c1, documentation updated on 18 November 2004.