This repository explores the core principles of Object-Oriented Programming (OOP) using Python. It’s meant to be a hands-on, beginner-friendly resource with practical code examples and Jupyter notebooks that walk through the fundamentals step by step.
It’s not meant to be perfect or exhaustive — just a genuine effort to make this sometimes-confusing topic a little more approachable. If it helps even one person wrap their head around classes, inheritance, or @property, then it's doing its job.
Whether you're new to OOP or brushing up your Python skills, this repo lays the groundwork for more advanced object-oriented design and software architecture.
| File/Notebook | Description |
|---|---|
7.1-class_property.py |
Demonstrates class properties. |
7.2-representation.py |
Explores object string representations. |
7.3-representation.py |
Continues work on object representation. |
7.3-state.py |
Covers managing object state. |
7.5-inheritance.py |
Explains and demonstrates inheritance. |
7.6-properties.py |
Shows the use of @property decorators. |
Class_cards.py |
Implements card game logic using classes. |
cards.py |
Supporting module for the card game example. |
OOP_introduction.ipynb |
Gentle notebook intro to OOP concepts. |
OOP-tutorial.ipynb |
Tutorial-style walkthrough of key OOP patterns. |
- Build intuition for classes, instances, and methods.
- Understand encapsulation, inheritance, and polymorphism.
- Use decorators like
@propertyfor clean interfaces. - Apply OOP concepts to practical, reusable code examples.
To try things out locally:
# Clone the repo
git clone https://github.com/christophergaughan/OOP.git
cd OOP
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
python 7.1-class_property.py
jupyter notebook
By working through this repo, you will:
- Write custom classes with meaningful
__init__,__str__, and__repr__methods. - Use inheritance to reduce redundancy and extend functionality.
- Protect and expose internal data cleanly using
@propertydecorators. - Build confidence writing clean, modular, and reusable code.
- Check out Coding with Lewis for clear and engaging explanations of OOP concepts. for high-quality explanations of related concepts.
- This repo was inspired in part by lessons from structured online courses and has been adapted with personal insights and full respect for original creators.
This project is licensed under the MIT License. See the LICENSE file for more details.