Overview

This course features Coursera Coach! 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.

Syllabus

Introduction

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.

Classes and Objects

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.

Types of Methods

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.

OOP Building Blocks

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.

Python OOP Project: Library Management System

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.