Disclaimer: ChatGPT generated document.
Design patterns are proven solutions to recurring problems in software design. They provide templates or guidelines to solve specific types of problems in a standardized way, improving code reusability, readability, and maintainability. These patterns are not finished designs but serve as blueprints for structuring your code to meet particular challenges effectively.
Design patterns are generally divided into three categories:
-
Creational Patterns
- Focus on object creation mechanisms.
- Aim to make the system independent of how its objects are created, composed, or represented.
Examples:
- Singleton: Ensures a class has only one instance and provides a global point of access to it.
- Factory Method: Creates objects without specifying the exact class to instantiate.
- Builder: Separates the construction of a complex object from its representation.
- Prototype: Creates new objects by copying existing ones.
-
Structural Patterns
- Deal with the composition of classes and objects.
- Help ensure that parts of a system work together in a flexible and efficient manner.
Examples:
- Adapter: Converts one interface to another so that classes with incompatible interfaces can work together.
- Composite: Composes objects into tree structures to represent part-whole hierarchies.
- Decorator: Adds behavior to an object dynamically without affecting other instances of the same class.
- Facade: Provides a simplified interface to a larger body of code.
-
Behavioral Patterns
- Focus on communication between objects and responsibilities.
- Describe how objects interact and distribute responsibility.
Examples:
- Observer: Defines a dependency between objects so that when one object changes state, its dependents are notified automatically.
- Strategy: Defines a family of algorithms, encapsulates each one, and makes them interchangeable.
- Command: Encapsulates a request as an object, allowing for parameterization and queuing of requests.
- State: Allows an object to alter its behavior when its internal state changes.
- Code Reusability: Encourages the use of established solutions, reducing development time.
- Flexibility: Enables systems to adapt to changing requirements with minimal effort.
- Maintainability: Makes it easier to understand and modify existing code.
- Standardization: Provides a shared vocabulary among developers, improving communication.
Design patterns are most useful when:
- You're facing a common design challenge in software development.
- You need to improve code organization and scalability.
- Your codebase needs to be more readable and maintainable for collaborative teams.
-
Singleton Pattern
- Problem: You need to ensure only one instance of a class is created (e.g., a database connection).
- Solution:
class Singleton { private: static Singleton* instance; Singleton() {} // Private constructor public: static Singleton* getInstance() { if (instance == nullptr) instance = new Singleton(); return instance; } }; Singleton* Singleton::instance = nullptr;
-
Observer Pattern
- Problem: You want multiple objects to listen to changes in another object.
- Solution (in Python):
class Subject: def __init__(self): self._observers = [] def add_observer(self, observer): self._observers.append(observer) def notify_observers(self): for observer in self._observers: observer.update() class Observer: def update(self): pass # To be implemented in subclasses
- Book: Design Patterns: Elements of Reusable Object-Oriented Software by Gamma, Helm, Johnson, and Vlissides (the "Gang of Four" book).
- Online Platforms:
- Refactoring Guru (refactoring.guru)
- TutorialsPoint (tutorialspoint.com)
- Languages: Design patterns can be implemented in many languages like C++, Python, Java, and more.
Let me know if you want detailed examples or help with specific patterns!
