🐍 Learn Python OOP

A beginner-friendly, project-based course for mastering Object-Oriented Programming (OOP) in Python. This repo contains course outlines, example code, practice exercises, and real-world mini-projects. Ideal for backend developers, aspiring engineers, and self-taught learners.

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📌 Why Learn OOP in Python?

Object-Oriented Programming is a powerful paradigm that makes your code:

• Easier to maintain
• More reusable and modular
• Suitable for large-scale projects

This course takes you from zero to hero with practical, well-structured OOP examples.

✅ Target Audience

• Beginners to intermediate Python learners
• Learners familiar with basic procedural Python (variables, loops, functions)
• Aspiring backend developers or software engineers

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📚 Course Modules

Module 1: Introduction to OOP

Module 1: Introduction to OOP

• What is Object-Oriented Programming?
• Benefits of OOP in software development
• Procedural vs OOP programming in Python

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Module 2: Classes and Objects

Module 2: Classes and Objects

• Defining a class
• Creating objects (instances)
• __init__() constructor
• Instance attributes vs class attributes
• Practice Project: Create a Book and Library class

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Module 3: Encapsulation

Module 3: Encapsulation

• Public, private, and protected members
• Getter and setter methods
• Use of @property decorator
• Practice: Banking System with encapsulated account details

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Module 4: Inheritance

Module 4: Inheritance

• What is inheritance?
• Base class and derived class
• super() and method overriding
• Multiple inheritance (briefly explained)
• Practice: Employee Management System with different types of employees

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Module 5: Polymorphism

Module 5: Polymorphism

• Method overloading (via default arguments)
• Method overriding
• Duck typing and dynamic typing in Python
• Practice: Shape area calculators (Rectangle, Circle, etc.)

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Module 6: Abstraction

Module 6: Abstraction

• Introduction to abstraction
• Using abc module and @abstractmethod
• Interface vs abstract class in Python
• Practice: Payment system with different payment methods

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Module 7: Magic Methods (Dunder Methods)

Module 7: Magic Methods (Dunder Methods)

• __str__, __repr__, __len__, __add__, etc.
• Practice: Custom Vector or Point class with operator overloading

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Module 8: Composition vs Inheritance

Module 8: Composition vs Inheritance

• When to prefer composition
• Design principle: "Has-a" vs "Is-a" relationship
• Practice: Car and Engine example using composition

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Module 9: Real-world Project

Module 9: Real-world Project

Project Ideas:

• Student Management System
• E-commerce Product Model
• Inventory System

Implement full OOP design:

• Encapsulation
• Abstraction
• Inheritance
• Polymorphism
• Clean code structure

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Module 10: Bonus Topics (Optional for Advanced Learners)

Module 10: Bonus Topics (Optional for Advanced Learners)

• SOLID Principles in Python
• UML basics for class design
• Test-Driven OOP Design (unittest)
• Intro to design patterns (e.g., Singleton, Factory)

All code examples are available in their respective folders with comments and test cases.

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🎁 Teaching Tools & Resources

• Jupyter Notebook or Replit for live coding
• Diagrams: Class relationships (draw.io, mermaid)
• Weekly quizzes & mini-projects
• Final GitHub project submission
• Certificate of completion (optional)

🧠 How to Use This Repo

1. Clone or fork the repo:

   git clone https://github.com/codemetry-dev/learn-python-oop.git
   cd learn-python-oop

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