Python OOP
🐍 Python OOP (Object-Oriented Programming) — Complete Guide
Python supports Object-Oriented Programming (OOP), a programming paradigm based on objects rather than functions and logic.
OOP helps in organizing code, making it reusable, scalable, and easier to maintain.
🔥 Key OOP Concepts in Python
| Concept | Meaning |
|---|---|
| Class | A blueprint/template for creating objects |
| Object | An instance of a class |
| Constructor | A special method that initializes an object |
| Attributes | Variables inside a class |
| Methods | Functions inside a class |
| Inheritance | One class can acquire properties of another |
| Encapsulation | Restricting direct access to the data |
| Polymorphism | Same method behaves differently based on object |
| Abstraction | Hiding complex code and exposing only essential parts |
1️⃣ Creating Class & Object
2️⃣ The __init__() Constructor
3️⃣ Class Attributes vs Instance Attributes
4️⃣ Methods in Classes
5️⃣ Inheritance
6️⃣ Multiple Inheritance
7️⃣ Polymorphism
8️⃣ Encapsulation (Private Variables)
9️⃣ Abstraction (using ABC module)
🔟 Static & Class Methods
🎉 Benefits of OOP
-
Better code organization
-
Reusability through inheritance
-
Easier debugging & scaling
-
Secure & modular applications
