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Python OOP – A Complete Course in Object Oriented Programming

Python OOP – A Complete Course in Object Oriented Programming
Free Download Python OOP – A Complete Course in Object Oriented Programming
Published 8/2024
Duration: 3h26m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 894 MB
Genre: eLearning | Language: English
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
Homepage
https://www.udemy.com/course/python-oop-a-complete-course-in-object-oriented-programming



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