Learn about the decorator pattern in Python, why it exists, how to use it, and when to use it. This post explains how the decorator pattern helps write more modular and efficient code, with practical examples like caching and timing functions. It also covers creating custom decorators, using functools.wraps to preserve function metadata, and decorators with arguments. Additionally, it touches on class decorators and their use cases.
Table of contents
A function that did too muchFactoring out the orthogonal behaviourA factory of cached functionsA factory of timed functionsThe decorator patternCaching even moreImplementing general decoratorsAnatomy of a decoratorfunctools.wraps – the decorator for your decoratorsIntermissionDecorators with argumentsTo parens or not to parens?Anything can be a decoratorClasses as decoratorsClasses as decorators with argumentsClasses can be decoratedConclusionBecome a better Python 🐍 developer 🚀References1 Comment
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