Udemy – OOPs in Python 2024-10

Apr 18, 2025 - 10:32

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OOPs in Python is a training course on the principles of object-oriented programming (OOP) using the Python programming language, which has been published by Udemy Online Academy. OOPs in Python is a course designed to introduce students to the principles of object-oriented programming (OOP) using the Python programming language. This course covers fundamental OOP concepts such as classes, objects, inheritance, encapsulation, and polymorphism, and shows how to apply these principles to create reusable and modular code. Participants will engage in hands-on exercises to build their own classes and objects, allowing them to understand the structure and behavior of Python programs. The course also explores advanced topics such as method overriding and operator overloading, providing a deeper understanding of how OOP can increase code efficiency and maintainability.

This course covers the fundamental principles of OOP such as classes, objects, inheritance, encapsulation, and polymorphism, and emphasizes their application in creating reusable code. Students will participate in hands-on exercises to build classes and understand Python program structure, along with advanced topics such as method overriding and operator overloading to increase code efficiency and maintainability. At the end of the course, students will have the confidence and skills to effectively implement OOP concepts in their Python projects.

What you will learn in OOPs in Python:

Basic concepts of OOP: classes, objects, methods
Inheritance: Create a class hierarchy
Polymorphism: Apply flexible behaviors
Encapsulation and abstraction: Hiding details
Magic Methods: Customize class operations
Multiple Inheritance: Use complex class structures
Design patterns: Clean and maintainable code
Dynamic classes: Change classes at runtime
Debugging and Optimization: Improve performance and code
and…

Course specifications

Publisher: Udemy
Instructors: Boktiar Ahmed Bappy
Language: English
Level: Introductory to Advanced
Number of Lessons: 30
Duration: 4 hours and 42 minutes

Course topics

OOPs in Python Content

OOPs in Python Prerequisites

Basic Python Programming Knowledge
Understanding of Data Types & Variables
Familiarity with Functions and Loops
Experience with Python Syntax and IDEs
Problem-Solving and Logical Thinking
Basic Knowledge of File Handling in Python
Willingness to Learn OOP Concepts
Access to a Computer with Python Installed

Udemy – OOPs in Python 2024-10