- Object-Oriented Programming (OOP) in Python
-
Overview
- Introduction to OOP in Python
- Classes and Objects
- Constructors (__init__) and Destructors
- Inheritance (Single, Multiple, Multilevel)
- Polymorphism and Method Overriding
- Encapsulation and Data Hiding
- Abstract Classes and Interfaces
- Static and Class Methods
- Magic/Dunder Methods (__str__, __repr__)
- Metaclasses in Python
- Method Resolution Order (MRO) in Python
Object-Oriented Programming (OOP) in Python
Add to BookmarkIn this tutorial series on OOP in Python, we will explore how Python supports object-oriented programming and how you can use it to write modular, reusable, and scalable code.
What We Will Cover:
- Introduction to OOP in Python – Understanding classes, objects, and the need for OOP.
- Encapsulation – Hiding implementation details and controlling access to data.
- Inheritance – Creating new classes from existing ones to promote code reuse.
- Polymorphism – Implementing methods in multiple ways for flexibility.
- Magic Methods & Dunder Methods – Special methods like
__init__
,__str__
, and__len__
. - Class and Static Methods – Differences between instance, class, and static methods.
- Abstract Classes and Interfaces – Enforcing structure in OOP design.
- Real-world OOP Examples – Practical implementations of OOP in Python projects.
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