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🏛️ Object-Oriented Programming (OOP) in Python

A collection of Python scripts and implementations dedicated to mastering the core principles of Object-Oriented Programming. This repository is a critical milestone in my AI Engineer Roadmap, focusing on structural design, code reusability, and efficient software architecture.

📚 Concepts Covered

  • The Four Pillars:
    • Encapsulation: Using access modifiers (_ and __) to protect data and bundle methods.
    • Inheritance: Implementing Single, Multiple, and Multilevel inheritance to reduce redundancy.
    • Polymorphism: Utilizing method overriding and operator overloading for flexible interfaces.
    • Abstraction: Hiding complexity using the abc module and Abstract Base Classes (ABC).
  • Class Fundamentals:
    • Constructing objects with __init__ and managing self.
    • Class attributes vs. Instance attributes.
  • Advanced OOP:
    • Decorators like @property, @classmethod, and @staticmethod.
    • Understanding Method Resolution Order (MRO).

🚀 Getting Started

To explore these implementations locally:

  1. Prerequisites: Ensure you have Python 3.14+ installed.
  2. Environment: It is recommended to use a virtual environment.
    python -m venv .venv
    source .venv/bin/activate  # On Windows: .venv\Scripts\activate

About

This repository features a structured collection of Object-Oriented Programming (OOP) implementations using Python. It explores the foundational pillars—Encapsulation, Inheritance, Polymorphism, and Abstraction—through practical, well-documented code examples. Designed for academic mastery and technical interview preparation.

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