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Python for Data Science Intermediate: Object-Oriented Programming

Learn the basic programming concepts related to Object-Oriented Programming
Preview the first lesson free — get full access to all 4 lessons.
Course: On-Demand
Intermediate Provider Nizar Dajani  4 Lessons ·  35m  in English 

Course Description

In these lessons, you will learn about object-oriented programming in Python. We will cover topics such as classes, objects, inheritance, and magic methods, as well as encapsulation and abstraction.

Object-oriented programming (OOP) is a coding paradigm that uses the concept of "objects" to structure and organize code. Python is a powerful and versatile programming language that supports OOP, which makes it an excellent choice for a wide range of applications. We’ll walk you through the building blocks and approaches for writing Python code using OOP, including concepts like classes, objects, inheritance, magic methods, encapsulation, and abstraction. We’ll also show you how this approach encourages the creation of reusable and modular code, making it easier to manage and maintain software projects. Finally, we’ll go over how to organize code in classes and objects, and how to identify different magic methods used in Python.

What You'll Learn

  • Describe the approach of object-oriented programming (OOP) in Python
  • Recognize the different concepts used in OOP
  • Organize code using classes and objects
  • Apply inheritance to structure Python code
  • Identify the different magic methods used in Python
  • Explain encapsulation and abstraction in OOP

Key Takeaways

  • Object-oriented programming is a coding paradigm that uses the concept of objects to structure and organize code.
  • Python is a powerful and versatile language that supports OOP, making it suitable for a wide range of applications.
  • The course covers the building blocks of OOP in Python, including classes, objects, inheritance, magic methods, encapsulation, and abstraction.
  • The OOP approach encourages the creation of reusable and modular code, making software projects easier to manage and maintain.

Frequently Asked Questions

What does this course cover?

It covers object-oriented programming in Python, including classes, objects, inheritance, magic methods, encapsulation, and abstraction.

What will I be able to do after taking this course?

You will be able to describe the approach of object-oriented programming, recognize the different concepts in OOP, explain how to organize code in classes and objects, and identify different magic methods.

Why use object-oriented programming in Python?

The OOP approach encourages the creation of reusable and modular code, making it easier to manage and maintain software projects, and Python supports OOP, making it an excellent choice for a wide range of applications.

What topics are taught in the lessons?

The lessons cover Classes and Objects, Inheritance, Magic Methods, and Encapsulation and Abstraction.

What skills does this course build?

It builds skills in Data Science, Python programming, and object-oriented programming, including object-oriented software engineering and object-oriented databases.