Learn OOP in Python fast—Understand classes, objects, encapsulation, inheritance, and method overriding.
Sub Category
- Programming Languages
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Objectives
- Understand the core concepts of Object-Oriented Programming (OOP) in Python
- Create and use classes and objects effectively
- Define and manage instance attributes and methods
- Use the __init__() constructor to initialize objects
- Differentiate between class attributes and instance attributes
- Use the self keyword to reference object-specific data
- Apply encapsulation to protect internal class data
- Work with public, protected, and private attributes
- Implement getter and setter methods manually and using property decorators
- Build inheritance hierarchies and reuse parent class functionality
- Override methods in child classes to customize behavior
- Use the super() function to access and extend parent methods
- Understand and apply polymorphism using method overriding
- Write cleaner, reusable, and modular Python code using OOP best practices
- Develop a solid foundation for more advanced Python programming and frameworks
Pre Requisites
- Basic knowledge of Python (variables, functions, loops, and conditionals)
- A computer with Python installed (any version 3.x is fine)
- A code editor or IDE like VS Code, PyCharm, or even an online Python interpreter
- No prior experience with Object-Oriented Programming required
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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