Welcome to the ultimate resource for mastering Software Design Principles and Patterns in Python! This repository is your one-stop destination to learn, understand, and apply the most essential design principles and patterns in Python programming. Whether you're a beginner or an experienced developer, this repository will help you write cleaner, more maintainable, and scalable code.
- Comprehensive Coverage: Learn key principles like Composition Over Inheritance, Program Over Abstraction, SOLID, Hollywood Principle, and more.
- Practical Examples: Each principle and pattern is explained with clear, concise, and practical Python examples.
- Open Source: This repository is open-source, meaning you can contribute, suggest improvements, and collaborate with others.
- Beginner-Friendly: Concepts are explained in a simple and approachable manner, making it easy for beginners to get started.
- Advanced Insights: Experienced developers will find deep dives into advanced topics and best practices.
This repository is organized into sections, each focusing on a specific principle or pattern. Here's a sneak peek at what you'll find:
- Composition Over Inheritance: Learn why composition is often a better choice than inheritance and how to implement it in Python.
- Program Over Abstraction: Understand the balance between abstraction and practicality in software design.
- SOLID Principles: Master the five principles of object-oriented design (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion).
- Hollywood Principle: Discover the "Don't call us, we'll call you" approach to designing loosely coupled systems.
- Creational Patterns: Learn patterns like Singleton, Factory, and Builder to create objects in a controlled and efficient manner.
- Structural Patterns: Explore patterns like Adapter, Decorator, and Facade to simplify the structure of your code.
- Behavioral Patterns: Understand patterns like Observer, Strategy, and Command to manage object interactions and responsibilities.
- Explore the Topics: Navigate through the folders to find the principle or pattern you're interested in.
- Read the Theory: Each topic includes a detailed explanation of the concept.
- Study the Examples: Dive into the Python examples to see how the principle or pattern is applied in real-world scenarios.
- Experiment: Clone the repository, modify the examples, and experiment with your own code.
- Contribute: Found a bug? Have a suggestion? Feel free to open an issue or submit a pull request!