Can you explain the differences between design patterns in Python?

Can you explain the differences between design patterns in Python?

Sure! Design patterns are typical solutions to common problems in software design. In Python, some popular design patterns include Singleton, Factory, and Observer. Each serves a different purpose and has its own use cases.

What is the Singleton pattern and when should I use it?

The Singleton pattern ensures that a class has only one instance and provides a global point of access to it. You should use it when you need to control access to shared resources, like a configuration object.

Can you give me an example of the Factory pattern?

Certainly! The Factory pattern defines an interface for creating an object but allows subclasses to alter the type of objects that will be created. For example, you might have a ShapeFactory that creates different shapes like circles or squares based on input.

How does the Observer pattern work?

The Observer pattern allows an object, known as the subject, to maintain a list of its dependents, called observers, and notify them of state changes. This is useful for implementing event handling systems.