Python design patterns are reusable solutions to common problems encountered in software design. They help developers create efficient, maintainable, and scalable code by providing proven approaches to solving specific design problems.
Design patterns are an attempt to bring a formal definition for correctly designed structures to software engineering. In software development, we may incorrectly choose or apply a design pattern, and create software that “collapses” under normal operating situations or when stressed beyond its original design limits.
In this article, we’ll explore some of the most useful design patterns in Python and how they can be applied to build robust and maintainable software.
Decorator Pattern
Decorators allows us to “wrap” and object that provides core functionality with other objects that alter that functionality. There are two primary uses of the decorator pattern:
- Enhancing the response of a component that is sending data to a second component
- Supporting multiple optional behaviors
It is a structural design pattern that allows behavior to be added to individual objects dynamically, without affecting the behavior of other objects from the same class. Decorators are a powerful and flexible tool…
