Python OOP Course: Master Object-Oriented Programming

Python OOP Course: Master Object-Oriented Programming, available at $74.99, has an average rating of 4.68, with 38 lectures, 1 quizzes, based on 320 reviews, and has 1165 subscribers.

You will learn about Write clean code that is reusable, modular, and readable Level up your Python Programming skills Learn the fundamental object-oriented programming concepts Apply OOP concepts to your Python code Work on a project to enhance your understanding of the course Good and bad practices when writing OOP code This course is ideal for individuals who are Beginners who want to learn the fundamental concepts of object-oriented programming or Beginners who want to learn how to apply object-oriented programming concepts in Python or Like to learn concepts in-depth or Want to take your skills to the next level It is particularly useful for Beginners who want to learn the fundamental concepts of object-oriented programming or Beginners who want to learn how to apply object-oriented programming concepts in Python or Like to learn concepts in-depth or Want to take your skills to the next level.

Enroll now: Python OOP Course: Master Object-Oriented Programming

Summary

Title: Python OOP Course: Master Object-Oriented Programming

Price: $74.99

Average Rating: 4.68

Number of Lectures: 38

Number of Quizzes: 1

Number of Published Lectures: 38

Number of Published Quizzes: 1

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Write clean code that is reusable, modular, and readable
Level up your Python Programming skills
Learn the fundamental object-oriented programming concepts
Apply OOP concepts to your Python code
Work on a project to enhance your understanding of the course
Good and bad practices when writing OOP code

Who Should Attend

Beginners who want to learn the fundamental concepts of object-oriented programming
Beginners who want to learn how to apply object-oriented programming concepts in Python
Like to learn concepts in-depth
Want to take your skills to the next level

Target Audiences

Beginners who want to learn the fundamental concepts of object-oriented programming
Beginners who want to learn how to apply object-oriented programming concepts in Python
Like to learn concepts in-depth
Want to take your skills to the next level

Important: This course is NOT for absolute beginners. Object-oriented programming / design is for intermediate-level learners.

Object-oriented programming (OOP) is a programming model that is widely used in the industry.

Mastering OOP concepts allows you to write code that is readable, maintainable, reusable, and overall more elegant. All of these are skills that separate high-performing programmers from average programmers.

Everything in Python is actually an object! This means that your understanding of the Python programming language is not complete until you fully internalize OOP concepts and understand how to apply these concepts in Python.

So if you want to be a solid Python programmer, then understanding OOP concepts, learning how to design, implement, and apply these concepts in your code is crucial.

What You Will Learn

Write clean code that is reusable, modular, and readable
Level up your Python programming skills
Learn the fundamental object-oriented programming concepts
Apply OOP concepts to your Python code
Work on a project to enhance your understanding of the course
Good and bad practices when writing OOP code

This course is for you if you:

have basic knowledge of Python and wants to take your skills to the next level
want to learn the fundamental concepts of object-oriented programming
want to learn how to apply object-oriented programming concepts in Python
like to learn concepts in-depth
like to learn by doing homework and working on a project

What are the prerequisites for this course?

This course is about object-oriented programming in Python. I assume that you have a fairly basic knowledge of the Python programming language. For example, you know what variables, for loops, functions, lists, and dictionaries are.

Course Curriculum

Chapter 1: Object-Oriented Mindset

Lecture 1: Course Introduction

Lecture 2: What is Object-Oriented Programming?

Lecture 3: Concepts of Object-Oriented Programming

Lecture 4: Classes vs Objects

Chapter 2: Classes and Objects

Lecture 1: Your First Python Class and Object

Lecture 2: All about the id() Function

Lecture 3: How are Objects and Classes Stored in Memory

Lecture 4: Expressing Object's Behavior using Methods

Lecture 5: Initializing Object Attributes using __init__

Lecture 6: Encapsulation in Python

Lecture 7: Introducing the Project: MaxHandWins

Lecture 8: [Homework] Worksheet 1

Lecture 9: [Solution] Worksheet 1

Lecture 10: [Homework] Worksheet 2

Lecture 11: [Solution] Worksheet 2

Chapter 3: Attributes and Methods – Deep Dive

Lecture 1: Class Attributes vs Instance Attributes

Lecture 2: Class Methods vs Instance Methods

Lecture 3: Useful Examples for Class Methods

Lecture 4: [Homework] Worksheet 3

Lecture 5: [Solution] Worksheet 3

Chapter 4: Inheritance

Lecture 1: Basic Inheritance

Lecture 2: Method Overriding

Lecture 3: Constructor Inheritance

Lecture 4: [Homework] Worksheet 4

Lecture 5: [Solution] Worksheet 4

Chapter 5: [Advanced] Magic Methods

Lecture 1: What are Magic Methods?

Lecture 2: Introduction to Arithmetic Magic Methods

Lecture 3: The __add__ Magic Method

Lecture 4: The __sub__ Magic Method

Lecture 5: The __mul__ Magic Method

Lecture 6: Introduction to Comparison Magic Methods

Lecture 7: Equality and Inequality Magic Methods

Lecture 8: More Comparison Magic Methods

Lecture 9: The __str__ Magic Method

Lecture 10: [Homework] Worksheet 5

Lecture 11: [Solution] Worksheet 5

Lecture 12: [Homework] Worksheet 6

Lecture 13: [Solution] Worksheet 6

Instructors

Karim Elghamrawy
Software Engineer at Google. Founder of Afternerd.

Rating Distribution

1 stars: 1 votes
2 stars: 3 votes
3 stars: 13 votes
4 stars: 83 votes
5 stars: 220 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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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