A beginner-friendly guide to Object-Oriented Programming (OOP) in Python.
This notebook is designed for students and beginners who want to understand OOP concepts in a simple and practical way. Instead of focusing on complex theory, the notebook explains each concept using clear explanations, real-world examples, and Python code.
Object-Oriented Programming (OOP) is one of the most important programming paradigms in Python and modern software development.
This notebook covers the fundamental OOP concepts that every Python learner should know before moving on to advanced topics such as Inheritance, Encapsulation, Polymorphism, and Abstraction.
By completing this notebook, you will be able to:
- Understand what Object-Oriented Programming (OOP) is.
- Understand the purpose of Classes and Objects.
- Create and use Objects in Python.
- Work with Instance Variables.
- Create and use Methods.
- Understand the role of
self. - Use Constructors (
__init__) effectively. - Build a simple Student Management System project.
- Introduction to OOP
- Class
- Object
- Creating Objects
- Instance Variables
- Methods
- self Keyword
- Constructor (
__init__) - Student Management System Mini Project
- Python 3
- Jupyter Notebook
- Kaggle Notebook
This notebook is suitable for:
- Python Beginners
- Computer Science Students
- Self-Learners
- Aspiring Data Scientists
- Aspiring Machine Learning Engineers
- Anyone starting their OOP journey
Python-OOP-for-Beginners/
β
βββ Python_OOP_for_Beginners.ipynb
βββ README.md
βββ LICENSE
This notebook is Part 1 of an OOP learning series.
Upcoming topics include:
- Inheritance
- Encapsulation
- Polymorphism
- Abstraction
- Advanced OOP Projects
Suggestions, improvements, and feedback are always welcome.
If you find this notebook helpful, consider giving the repository a β.
Aleesha Nadeem
BSCS Student | Aspiring Data Scientist | Machine Learning Enthusiast
Happy Learning and Happy Coding! ππ