Gain insights into writing cleaner, modular, and scalable Python code through Object-Oriented Programming. Dive into inheritance, polymorphism, and more with coding challenges and illustrations.

cpp17.tar.gz

Learn to write cleaner, more modular, and more scaleable code in Python by gaining a master of Object Oriented Programming (OOP). 

You'll start with the basics of object oriented programming and build up to more advanced concepts such as inheritance, information hiding, and polymorphism. Along the way you'll learn how each concept applies to Python in particular, as well as how various Python features make it particularly convenient for OOP.

This course is filled with hands-on coding challenges, playgrounds, snippets, and illustrations to keep things interactive.

Learn Object-Oriented Programming in Python

# Problem statement

When a method in a derived class overrides a method in a base class, it is still possible to call the overridden method using the `super()` function.

> If you write `super().method()`, it will call the method that was defined in the superclass.

You are given a partially completed code in the editor. Modify the code so that it returns the following:



## Sample input

```python
circle = XShape("Circle");
circle.getName()
```

## Sample output
```python 3
"Shape, Circle"
```

The `Shape` class is already prepended in the code and it has one property, `sname` and one method, `getName()`. `getName()` returns `sname`.

In this challenge, you will override a method using super().

Introduction to Object-Oriented Programming

Classes and Objects

Information Hiding

Exam 1

Inheritance

Polymorphism

Object Relationships

Exam 2

Challenge 1: Override a Method Using the Super Function

Problem statement