Object Oriented Programming in Python- A Comprehensive Guide

Object Oriented Programming in Python: A Comprehensive Guide, available at $19.99, has an average rating of 4.5, with 51 lectures, based on 6 reviews, and has 3016 subscribers.

You will learn about The Object Oriented Programming Python course will teach you how to write code that focuses on creating objects and classes, Youll learn how to create Classes, define Attributes and Methods Youll learn how to use and apply Inheritance, single and multiple inheritance How to create and use a @classmethod as well as @staticmethod within your code How to use Encapsulation to restrict access to program properties Polymorphism ,Abstraction and Composition concepts are introduced and taught to master Object Oriented Programming This course is ideal for individuals who are For Everyone Who Is Interesting In Learning Python Object Oriented Programming ( OOP ) It is particularly useful for For Everyone Who Is Interesting In Learning Python Object Oriented Programming ( OOP ).

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Summary

Title: Object Oriented Programming in Python: A Comprehensive Guide

Price: $19.99

Average Rating: 4.5

Number of Lectures: 51

Number of Published Lectures: 51

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 51

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

The Object Oriented Programming Python course will teach you how to write code that focuses on creating objects and classes,

Youll learn how to create Classes, define Attributes and Methods

Youll learn how to use and apply Inheritance, single and multiple inheritance

How to create and use a @classmethod as well as @staticmethod within your code

How to use Encapsulation to restrict access to program properties

Polymorphism ,Abstraction and Composition concepts are introduced and taught to master Object Oriented Programming

Who Should Attend

For Everyone Who Is Interesting In Learning Python Object Oriented Programming ( OOP )

Target Audiences

For Everyone Who Is Interesting In Learning Python Object Oriented Programming ( OOP )

The object-oriented programming course will teach students how to write code that is organized around objects instead of functions or procedures. This approach ensures clearer, more efficient, and more reusable code. Throughout the course, students will learn the fundamental concepts of object-oriented programming such as composition, encapsulation, inheritance, polymorphism, abstraction and more through lectures, exercises, and hands-on projects. The course will also delve into object-oriented design patterns, debugging techniques, and best practices in programming. By the end of the course, students will have a strong foundation in object-oriented programming and be ready to develop complex, object-oriented software applications.

Python course covers inheritance, one of the most important foundational concepts in object-oriented programming. The course begins by exploring the basics of inheritance and then delves into the different types of inheritance, such as single and multiple inheritance. It also reviews methods for overriding and extending parent class functionality

The Python course delves into the concept of Composition, which involves the construction of complex objects by combining simple ones. Students learn how to achieve code reusability and maintainability through composition, by using classes that have objects of other classes as instance variables

Encapsulation is a concept in object-oriented programming that refers to the bundling of data and methods within a single unit, hiding the implementation details from the user. This enables developers to create more secure and robust code by preventing direct access to the internal state of an object and limiting the scope of its functionality

Course Curriculum

Chapter 1: Classes & Objects

Lecture 1: Introduction To Object Oriented Programming

Lecture 2: Class & Object Creation

Lecture 3: __init__ Constructor & self Parameter

Lecture 4: Instance Variable

Lecture 5: Class Variable

Lecture 6: Method

Lecture 7: getattr & setattr Functions

Lecture 8: __class__ attribute

Lecture 9: __dict__ Property

Lecture 10: Object is Independent

Lecture 11: __str__ Method

Lecture 12: __name__ Property

Lecture 13: Class as an Object

Chapter 2: Privacy

Lecture 1: Private Instance Variable

Lecture 2: Use a Method To Access a Private Property

Lecture 3: Mangling

Lecture 4: Private Method

Chapter 3: Inheritance

Lecture 1: Introduction to Inheritance

Lecture 2: Inherit Properties

Lecture 3: Inherit a Method & Override It

Lecture 4: Access & Override an Attribute of a Superclass

Lecture 5: super() Function

Lecture 6: Multiple Inheritance

Lecture 7: MRO ( Method Resolution Order )

Lecture 8: __bases__ Attribute

Lecture 9: hasattr( ) Function

Lecture 10: issubclass( ) Function

Lecture 11: isinstance( ) Function

Chapter 4: Magic Methods

Lecture 1: __add__ Method

Lecture 2: __sub__ Method

Lecture 3: __str__ , __mul__ Methods

Lecture 4: More Magic Methods

Chapter 5: Polymorphism

Lecture 1: Polymorphism Through Inheritance

Lecture 2: Duck Typing

Chapter 6: Class Method & Static Method

Lecture 1: @classmethod

Lecture 2: @staticmethod

Lecture 3: @classmethod + @staticmethod in The Same Code

Chapter 7: Decorators

Lecture 1: *args & **kwargs

Lecture 2: Forwarding

Lecture 3: Introduction To Decorators

Lecture 4: Decorator With Arguments

Lecture 5: Multiple Decorators

Lecture 6: Class Decorator

Lecture 7: Class Decorator With Arguments

Chapter 8: Abstraction

Lecture 1: Abstract Class

Chapter 9: Composition

Lecture 1: Full Lecture On Composition

Lecture 2: Another Form Of Composition

Chapter 10: Encapsulation

Lecture 1: Full Lecture On Encapsulation

Chapter 11: Inherit From Built-in Classes

Lecture 1: List Class

Lecture 2: Dictionary Class

Chapter 12: Metaprogramming

Lecture 1: metaclass

Instructors

Zorab Vatcharadze
Expert in Python, JavaScript, SQL, HTML & CSS

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5 stars: 3 votes

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