Python Decorator Syntax

A Python Decorator Syntax is a Python Language Feature that modifies functions and classes using @ symbol notation.

• AKA: Python Decorator, Decorator Pattern in Python, @ Decorator, Python Annotation.
• Context:
  • It can typically wrap Python Functions with additional functionality without modifying bodies.
  • It can typically implement Cross-Cutting Concerns like logging, caching, and authentication.
  • It can typically support Decorator Chaining by stacking multiple decorators on single targets.
  • It can typically accept Decorator Parameters for configurable behavior and customization.
  • It can often enhance Code Reusability by separating concerns from core logic.
  • It can often simplify Metaprogramming through declarative syntax and function transformations.
  • It can often work with Class Methods, Static Methods, and Property decorators.
  • It can range from being a Simple Decorator to being a Parameterized Decorator, depending on its configuration needs.
  • It can range from being a Function Decorator to being a Class Decorator, depending on its target type.
  • It can range from being a Built-in Decorator to being a Custom Decorator, depending on its source.
  • It can range from being a Stateless Decorator to being a Stateful Decorator, depending on its state management.
  • ...
• Example(s):
  • Built-in Python Decorators:
    • @property for property access.
    • @staticmethod for static methods.
    • @classmethod for class methods.
    • @functools.cache for memoization.
  • Common Decorator Patterns:
    • Timing decorator: @timer to measure execution time.
    • Logging decorator: @log to record function calls.
    • Validation decorator: @validate to check arguments.
  • Framework Decorators:
    • Flask: @app.route() for URL routing.
    • Django: @login_required for authentication.
    • Pytest: @pytest.fixture for test fixtures.
  • ...
• Counter-Example(s):
  • Function Call, which invokes rather than modifies functions.
  • Inheritance, which extends classes through subclassing not decoration.
  • Monkey Patching, which modifies at runtime without decorator syntax.
• See: Python Language Feature, Decorator Pattern, Metaprogramming, Function Wrapper, Aspect-Oriented Programming, Python Function, Python Class.

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