Chapter 6 Object Oriented Programming Ipynb Colab

There was an error while loading. Please reload this page. Object-Oriented Programming (OOP) is a programming paradigm centered around the concept of objects, which are instances of classes. OOP is particularly beneficial in data science because it allows for modular, reusable, and maintainable code. By encapsulating data and functions that operate on the data into objects, OOP helps in organizing complex data workflows and creating scalable data science solutions. Class: A blueprint for creating objects.

A class defines a set of attributes and methods that the created objects will have. Object: An instance of a class. Each object can have unique attribute values, even if they share the same class. Encapsulation: Bundling of data (attributes) and methods (functions) that operate on the data into a single unit (class). Inheritance: A mechanism where one class can inherit attributes and methods from another class. There was an error while loading.

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