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Python Decorator Patterns

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Master Python decorators for adding reusable behavior to functions and classes. Covers function decorators, class decorators, parameterized decorators, decorator stacking, functools.wraps, and real-world patterns like caching and retry.

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Python Decorator Patterns

A guide to writing powerful Python decorators for adding reusable cross-cutting behavior to functions and classes.

Usage

Ask about decorator patterns, parameterized decorators, class decorators, or practical decorator use cases.

Examples

  • "Create a retry decorator with exponential backoff"
  • "How do I write a parameterized decorator?"
  • "Build a caching decorator with TTL support"

Guidelines

  • Always use functools.wraps to preserve function metadata
  • Use parameterized decorators for configurable behavior
  • Keep decorators focused on a single concern
  • Consider using classes as decorators for stateful behavior
  • Stack decorators from bottom to top in execution order