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Python Design Patterns

Welcome to the Python Design Patterns repository! This project serves as a collection of commonly used design patterns implemented in Python, helping developers solve recurring problems efficiently and elegantly.


🚀 Purpose

The goal of this repository is to provide:

  • A practical reference for design patterns in Python.
  • Examples of real-world applications of patterns.
  • Insight into the advantages and limitations of each pattern.

🗂️ Patterns Covered

Creational Patterns

  • Singleton: Ensures only one instance of a class is created.
  • Factory Method: Delegates object instantiation to subclasses.
  • Abstract Factory: Provides an interface to create families of related objects.
  • Builder: Constructs complex objects step by step.
  • Prototype: Creates new objects by cloning existing ones.

Structural Patterns

  • Adapter: Bridges two incompatible interfaces.
  • Decorator: Dynamically adds behavior to objects.
  • Proxy: Controls access to an object.
  • Composite: Treats individual objects and compositions of objects uniformly.
  • Bridge: Separates abstraction from implementation.
  • Facade: Provides a simplified interface to a complex subsystem.

Behavioral Patterns

  • Observer: Defines a subscription mechanism to notify multiple objects of state changes.
  • Strategy: Encapsulates interchangeable behaviors and algorithms.
  • Command: Encapsulates a request as an object.
  • State: Manages object behavior based on its state.
  • Template Method: Defines the skeleton of an algorithm in a method.
  • Chain of Responsibility: Passes requests along a chain of handlers.

🛠️ Getting Started

Prerequisites

Ensure you have Python 3.7 or higher installed.

python --version

Clone the Repository

git clone https://github.com/Malay-exe/python-patterns.git
cd python-patterns

📚 How to Use This Repository

Learn the Patterns: Browse through the categories to explore the patterns you're interested in. Experiment: Modify the provided code to see how changes affect behavior. Incorporate: Use these patterns in your own Python projects.

💡 Why Design Patterns?

Improve code readability and maintainability.
Provide reusable solutions to common problems.
Encourage best practices in software design.

📝 Contributing

Contributions are welcome! To contribute:

Fork this repository.

Create a branch for your feature: git checkout -b feature-name.
Commit your changes: git commit -m 'Add feature'.
Push to your branch: git push origin feature-name.
Open a pull request.

🛡️ License

This project is licensed under the MIT License. See the LICENSE file for details.

🤝 Acknowledgments

Inspired by the classic "Design Patterns: Elements of Reusable Object-Oriented Software" by Erich Gamma et al.

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