Design patterns are reusable solutions to commonly occurring problems in software design. One such design pattern is the Chain of Responsibility (CoR) pattern. It is a behavioral pattern that allows an object to pass a request along a chain of objects until one of them handles the request. In this article, we will explore the Chain of Responsibility design pattern, its structure, implementation, pros and cons, and its relationship with other design patterns.
The command design pattern
The Command design pattern is a behavioral design pattern that encapsulates a request or operation as an object, allowing it to be passed around and executed at a later time. It is commonly used in software applications that require undo-redo functionality, such as text editors or graphic design tools.
The Iterator design pattern
The Iterator pattern is a design pattern that provides a way to access the elements of an aggregate object sequentially without exposing its underlying representation. In this article, we will explore the…
The mediator design pattern
Design patterns are a set of solutions for common problems in software development. One of these patterns is the Mediator design pattern, which allows for loosely coupled communication between objects. In this article, we will discuss the structure of the Mediator pattern, provide an example of its implementation, and explore its pros and cons. We will also explore its relation with other design patterns.
The state design pattern
The State design pattern is a behavioral design pattern that allows an object to change its behavior based on its internal state. It is used when the behavior of an object needs to change based on its internal state, and when it is necessary to maintain the state of an object over time.
The observer design pattern
The Observer design pattern is a behavioral pattern that allows objects to subscribe to and receive notifications when a subject’s state changes. This pattern is also known as the publish-subscribe pattern.
The memento design pattern
The Memento design pattern is a behavioral design pattern that allows an object to save and restore its internal state without violating encapsulation. In this article, we will explore the Memento design pattern in detail, including its structure, an example implementation in Python, its pros and cons, and its relation with other design patterns.
The strategy design pattern
The Strategy design pattern is a behavioral design pattern that allows for the selection of an algorithm at runtime. This pattern encapsulates behavior in separate objects, allowing for greater flexibility and extensibility in code.
The Template method design pattern
The Template design pattern is a behavioral design pattern that defines the skeleton of an algorithm in a superclass, but allows subclasses to override specific steps of the algorithm without changing its overall structure. This pattern promotes code reuse, reduces code duplication, and improves maintainability.
The visitor design pattern
The Visitor Design Pattern is a behavioral pattern that allows developers to separate algorithms from the objects on which they operate. This pattern is useful when working with complex object structures that contain many different types of objects, and when there is a need to perform operations on those objects without changing their underlying classes.