Python Oop: A Complete Course In Object Oriented Programming

Learn Python Object Oriented Programming from Scratch: Master Classes, Inheritance, Polymorphism, and More

What you'll learn

What is Object-Oriented Programming?

Understanding Classes and Objects

Procedural vs. Object-Oriented Programming

Defining and Creating Classes

Class vs. Instance Variables

Understanding Instance Methods

Method Overloading and Overriding

Method Resolution Order (MRO)

Implementing Abstraction with Abstract Base Classes (ABCs)

Understanding Magic Methods and Operator Overloading

Understanding Composition vs. Inheritance

Code Organization and Modular Design

Writing Clean and Maintainable OOP Code

Creating a GUI Application Using OOP

Requirements

No prior knowledge is required!

Description

Dive into the world of Python and master the powerful concept of Object-Oriented Programming (OOP) with our comprehensive course, "Python OOP: A Complete Course in Object-Oriented Programming." This course is designed for both beginners and experienced programmers who want to understand and apply OOP principles effectively in their Python projects.What You Will Learn:Introduction to OOP Concepts: Understand the core principles of Object-Oriented Programming, including classes, objects, inheritance, polymorphism, encapsulation, and abstraction.Python Classes and Objects: Learn how to define and use classes and objects in Python. Explore how to create and manage objects, attributes, and methods.Inheritance and Polymorphism: Master inheritance to reuse and extend code, and understand polymorphism to write flexible and maintainable code.Encapsulation and Abstraction: Discover how to protect your data and create modular code using encapsulation and abstraction techniques.Advanced OOP Techniques: Dive deeper into advanced topics such as multiple inheritance, operator overloading, method overriding, and the use of decorators in OOP.Real-World Projects: Apply your skills with hands-on projects that involve creating real-world applications and solving complex problems using OOP concepts.Why Choose This Course?Comprehensive Curriculum: Cover everything from basic to advanced OOP concepts, ensuring you gain a thorough understanding of Python OOP.Hands-On Learning: Engage with practical exercises and projects designed to reinforce your learning and help you apply OOP concepts in real-world scenarios.Expert Instructor: Learn from an experienced instructor who provides clear explanations, real-world examples, and practical tips.Lifetime Access: Enjoy unlimited access to course materials, allowing you to learn at your own pace and revisit lessons whenever you need.Career Advancement: Enhance your programming skills and improve your job prospects by mastering OOP in Python, a critical skill for any software developer.Who Should Enroll?Beginner Programmers: Start your programming journey with a strong foundation in Python OOP.Intermediate Developers: Strengthen your understanding of OOP principles and learn how to apply them in Python.Experienced Programmers: Sharpen your OOP skills and learn new techniques to enhance your coding practices.Anyone: Whether you're new to programming or looking to deepen your Python knowledge, this course is for you!Take the next step in your programming journey by enrolling in "Python OOP: A Complete Course in Object-Oriented Programming." Master the OOP concepts that will set you apart as a proficient Python developer!  By completing this course, you'll gain the confidence and skills needed to write clean, efficient, and reusable code using Object-Oriented Programming in Python. Join us now and start your journey to becoming an expert in Python OOP!

Overview

Section 1: Module 1: Introduction to Object-Oriented Programming

Lecture 1 What is Object-Oriented Programming?

Lecture 2 Understanding Classes and Objects

Lecture 3 Procedural vs. Object-Oriented Programming

Section 2: Module 2: Classes and Objects

Lecture 4 Defining and Creating Classes

Lecture 5 Understanding the __init__ Method

Lecture 6 Creating and Using Objects

Lecture 7 Class vs. Instance Variables

Section 3: Module 3: Methods in Python OOP

Lecture 8 Understanding Instance Methods

Lecture 9 Class Methods and @classmethod

Lecture 10 Static Methods and @staticmethod

Lecture 11 Method Overloading and Overriding

Section 4: Module 4: Inheritance and Polymorphism

Lecture 12 Introduction to Inheritance

Lecture 13 Single and Multiple Inheritance

Lecture 14 Method Resolution Order (MRO)

Lecture 15 Polymorphism and Method Overriding

Section 5: Module 5: Encapsulation and Abstraction

Lecture 16 Understanding Encapsulation

Lecture 17 Public, Protected, and Private Attributes

Lecture 18 Implementing Abstraction with Abstract Base Classes (ABCs)

Lecture 19 Practical Examples of Encapsulation and Abstraction

Section 6: Module 6: Advanced OOP Concepts

Lecture 20 Understanding Magic Methods and Operator Overloading

Lecture 21 Creating Custom Iterators and Generators

Lecture 22 Understanding Composition vs. Inheritance

Section 7: Module 7: Working with Real-World Projects

Lecture 23 Code Organization and Modular Design

Lecture 24 Writing Clean and Maintainable OOP Code

Lecture 25 Creating a GUI Application Using OOP

Lecture 26 Project:- Building a Simple OOP-Based Calculator

Start your programming journey with a strong foundation in Python OOP.,Anyone interested in a comprehensive course Python Object Oriented Programming.