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⇱ Python for OOP - The A to Z OOP Python Programming Course | Coursera

Python for OOP - The A to Z OOP Python Programming Course

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Python for OOP - The A to Z OOP Python Programming Course

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand key OOP principles like classes, objects, and methods.

  • Master advanced Python OOP techniques including inheritance and polymorphism.

  • Learn how to design and implement classes and methods with Python.

  • Gain hands-on experience building a project using Python OOP principles.

Details to know

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Assessments

6 assignments

Taught in English

There are 5 modules in this course

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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of Object-Oriented Programming (OOP) in Python with this comprehensive course designed to take you from beginner to proficient in OOP principles. You will learn how to structure code more effectively, design reusable components, and master essential Python concepts like classes, objects, inheritance, and polymorphism. By applying what you’ve learned through real-world examples and hands-on projects, you'll gain the skills necessary to create clean, maintainable, and scalable Python programs. Throughout the course, you'll explore essential OOP building blocks, such as methods, class variables, abstraction, and encapsulation. You will also deepen your understanding of inheritance with a focus on multilevel and multiple inheritance, as well as method overriding and polymorphism. These principles will be reinforced through various practical exercises, allowing you to refine your skills as you go. This course is ideal for developers looking to build a solid foundation in OOP using Python. No prior experience with Python or OOP is required, though a basic understanding of programming concepts will help. You’ll follow a structured learning path, gradually progressing through concepts and exercises that will prepare you to build your own Python applications with OOP principles at the core. By the end of the course, you will be able to design Python programs using object-oriented principles, implement methods and classes with advanced techniques like static methods and class variables, leverage inheritance and polymorphism for scalable applications, and complete a final project to demonstrate your mastery of OOP concepts.

In this module, we will introduce the foundational concepts of Object-Oriented Programming (OOP) and explain its relevance in Python programming. You will explore how classes and objects interact, gaining an overview of the key benefits of OOP for better code organization and scalability.

What's included

1 video1 reading

1 video•Total 10 minutes
  • Introduction to Object-Oriented Programming•10 minutes
1 reading•Total 10 minutes
  • Full Course Resource•10 minutes

In this module, we will explore the process of creating your first class in Python, detailing the necessary syntax and key components like attributes, methods, and initialization. Through hands-on exercises, you’ll build a deeper understanding of classes, methods, and variables in the context of OOP.

What's included

11 videos1 assignment

11 videos•Total 73 minutes
  • Create Your First Class with OOP•9 minutes
  • Classes in Detail•7 minutes
  • Exercise on Class•8 minutes
  • Methods•7 minutes
  • Exercise 1 on Methods•6 minutes
  • Exercise 2 on Methods•5 minutes
  • Class Variables•5 minutes
  • Exercise on Class Variables•5 minutes
  • Object Techniques + Class Variables (Part 1)•4 minutes
  • Object Techniques + Class Variables (Part 2)•10 minutes
  • Issue in Class•8 minutes
1 assignment•Total 15 minutes
  • Classes and Objects - Assessment•15 minutes

In this module, we will dive into the different types of methods in Python classes, focusing on how instance methods differ from class and static methods. You will gain practical experience by solving exercises to reinforce your understanding of each method type and their appropriate use cases.

What's included

6 videos1 assignment

6 videos•Total 36 minutes
  • Class Method (Part 1)•6 minutes
  • Class Method (Part 2)•5 minutes
  • Static Method•5 minutes
  • Exercise on Static Method (Part 1)•6 minutes
  • Exercise on Static Method (Part 2)•7 minutes
  • Exercise on Static Method (Part 3)•7 minutes
1 assignment•Total 15 minutes
  • Types of Methods - Assessment•15 minutes

In this module, we will cover the essential building blocks of OOP, including abstraction, inheritance, encapsulation, and polymorphism. You will learn advanced concepts like method overriding, the method resolution order (MRO), and practical applications of these concepts in real-world projects.

What's included

11 videos1 assignment

11 videos•Total 96 minutes
  • Abstraction and Encapsulation•9 minutes
  • Introduction to Inheritance•8 minutes
  • Multilevel Inheritance: Part 1•8 minutes
  • Multiple Inheritance: Part 2•8 minutes
  • Method Overriding and MRO•9 minutes
  • isinstance() and issubclass()•8 minutes
  • Naming Convention•8 minutes
  • Name Mangling in Python•11 minutes
  • Dunder Methods or Magic Methods•10 minutes
  • Operator Overloading•8 minutes
  • Polymorphism•10 minutes
1 assignment•Total 15 minutes
  • OOP Building Blocks - Assessment•15 minutes

In this module, we will apply everything learned in the course by building a Library Management System project. You will begin with the creation of core functionalities such as adding and retrieving books, followed by refining and expanding the project through error correction and additional features.

What's included

2 videos3 assignments

2 videos•Total 24 minutes
  • Python OOP Project: Part 1•11 minutes
  • Python OOP Project: Part 2•13 minutes
3 assignments•Total 90 minutes
  • Full Course Practice Assessment•15 minutes
  • Full Course Assessment•60 minutes
  • Python OOP Project: Library Management System - Assessment•15 minutes

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Frequently asked questions

Object-Oriented Programming (OOP) is a programming paradigm that is centered around the concept of "objects." These objects can hold data and methods that manipulate that data. OOP is relevant because it provides a clear structure for organizing code, which makes it easier to manage, scale, and reuse. In Python, OOP enables developers to create complex, modular programs that are easier to maintain and extend.

This course covers all the key principles of Object-Oriented Programming (OOP) using Python. It guides learners from understanding the basics of classes and objects to advanced concepts like inheritance, polymorphism, method overriding, and operator overloading. Additionally, the course includes hands-on exercises and a project—building a Library Management System—to solidify your learning through practical experience.

Upon completion of this course, you will be able to create and manage classes and objects in Python with ease. You will understand key OOP principles such as abstraction, encapsulation, inheritance, and polymorphism. You'll also be capable of building complex systems by applying OOP concepts, and you'll have a strong foundation for tackling Python projects, including your own OOP-based applications.

To get the most out of this course, you should have a basic understanding of Python programming, including fundamental concepts like variables, loops, and functions. If you're already familiar with Python syntax and have some experience with simple programming tasks, you'll be well-prepared to dive into OOP concepts.

This course is designed for anyone looking to deepen their Python programming skills, particularly those interested in mastering Object-Oriented Programming. Whether you're a beginner eager to learn OOP or an intermediate Python developer looking to enhance your knowledge, this course will guide you step by step through the concepts and techniques needed to succeed.

The course is structured into modules, each consisting of video lessons and exercises. It should take approximately 3 hours to complete, depending on your learning pace. You can proceed at your own speed, but it's recommended to allow time for the practical exercises and the final project to ensure a solid grasp of the material.

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,