Python

Design Patterns

Design patterns are standardized solutions to recurring problems that developers encounter during software development. They offer well-proven solutions that can be adapted to various contexts, fostering efficient and effective software design. Here’s an expanded overview of design patterns:

Types of Design Patterns:

  1. Creational Patterns: These patterns are concerned with object creation mechanisms, trying to create objects in a manner that is suitable to the situation. Examples include:
    • Singleton Pattern: Ensures a class has only one instance and provides a global point of access to it.
    • Factory Method Pattern: Defines an interface for creating objects, allowing subclasses to alter the type of objects that will be created.
    • Builder Pattern: Separates the construction of a complex object from its representation, allowing the same construction process to create different representations.
  2. Structural Patterns: These patterns focus on the composition of classes or objects to form larger structures. They help ensure that classes and objects are combined in a flexible manner.
    • Adapter Pattern: Allows objects with incompatible interfaces to work together by providing a wrapper that translates one interface into another.
    • Decorator Pattern: Dynamically adds responsibilities to objects, providing a flexible alternative to subclassing for extending functionality.
    • Composite Pattern: Composes objects into tree structures to represent part-whole hierarchies. Clients can treat individual objects and compositions uniformly.
  3. Behavioral Patterns: These patterns deal with how objects interact and communicate, capturing common communication patterns between objects.
    • Observer Pattern: Defines a dependency between objects, so that when one object changes state, all its dependents are notified and updated automatically.
    • Strategy Pattern: Defines a family of algorithms, encapsulating each one and making them interchangeable. It allows algorithms to be selected and changed independently of the client using them.
    • Command Pattern: Turns a request into a stand-alone object, containing all information about the request. This decouples sender and receiver, enabling parameterization of objects with operations.

Since there are a lot of different design patterns, we are able to benefit from using them in many different ways. Having proven solutions that can be reused across projects can save a lot of development time and effort, and therefore are easier to maintain. Having your code in a modular design allows for components to be adjusted or added without affecting the entire system, and it also makes your code a lot easier to read, meaning you will have better collaboration and reduce the chance of errors.

There are many different ways that you can learn about design patterns, such as courses on platforms like Udemy, tutorials and blogs and developer communities. However one of the best resources is the Gang of Four book, written by Erich Gamma, Richard Helm, Ralph Johnson and John Vlissides. The book is called ‘Design Patterns: Elements of Resuable Object-Oriented Software’ and they explain each individual design pattern and how they are useful!

Understanding and applying design patterns in the correct way, can significantly enhance your ability to create efficient and maintainable software systems.