Welcome to the Python Design Patterns repository! This project is dedicated to exploring and demonstrating the three core categories of design patterns in Python: Creational, Structural, and Behavioral patterns. Each pattern is presented with examples to illustrate best practices in Python programming.
Design patterns are typical solutions to common problems in software design. They represent best practices used by experienced object-oriented software developers. This repository serves as a guide to understanding and implementing various design patterns in Python.
- Creational Patterns: Focus on mechanisms of object creation, trying to create objects in a manner suitable to the situation.
- Structural Patterns: Explain how to assemble objects and classes into larger structures, while keeping these structures flexible and efficient.
- Behavioral Patterns: Take care of effective communication and the assignment of responsibilities between objects.
Prerequisites
- Basic knowledge of Python programming.
- Familiarity with object-oriented programming concepts.
- Explore the Patterns
- Creational Patterns Examples and use cases of patterns like Factory, Abstract Factory, Builder, Prototype, and Singleton.
- Structural Patterns Demonstrations of Adapter, Composite, Proxy, Flyweight, Facade, and Decorator patterns.
- Behavioral Patterns Implementations of Observer, Strategy, Command, State, Template Method, and Iterator patterns.
Each pattern includes a separate directory with Python scripts demonstrating its usage. Simply navigate to the directory of the pattern you're interested in and run the corresponding Python script.
Feel free to contribute to this repository! Whether it's adding new design pattern examples, improving existing ones, or fixing bugs, your input is highly appreciated.