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Object Oriented Programming with Python 3

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Object Oriented Programming with Python 3, available at $59.99, has an average rating of 4.5, with 52 lectures, based on 268 reviews, and has 7314 subscribers.

You will learn about Object Oriented Programming with Python What is Class and What are Objects? What are Constructors? Understand Static and Non-Static Understand Data Abstraction and Data Encapsulation Understand Inheritance Types of Inheritance – Multiple, Multi-Level and Method Resolution Order (MRO) Understand Polymorphism Understand How to convert Traditional Code to Object Oriented Programming Code Understanding Inheritance and Composition in Depth Case Study: Object Oriented Programming SOLID Design Principles with Python Understanding Single Responsibility Principle with Python Understanding Open-Closed Principle with Python Understanding Liskov Subsititution Principle with Python Understanding Interface Segregation Principle with Python Understanding Dependency Inversion Principle with Python This course is ideal for individuals who are Beginner Python Developers or Python Learners or Interested in understanding Object Oriented Programming with Python or Learn Python Programming in depth or Mastering Object Oriented Programming Principles in Python or Learn Best Practices in Programming or Learn SOLID Design Principles with Python or Understand Object Oriented Programming using Python with Case Study It is particularly useful for Beginner Python Developers or Python Learners or Interested in understanding Object Oriented Programming with Python or Learn Python Programming in depth or Mastering Object Oriented Programming Principles in Python or Learn Best Practices in Programming or Learn SOLID Design Principles with Python or Understand Object Oriented Programming using Python with Case Study.

Enroll now: Object Oriented Programming with Python 3

Summary

Title: Object Oriented Programming with Python 3

Price: $59.99

Average Rating: 4.5

Number of Lectures: 52

Number of Published Lectures: 52

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 52

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

  • Object Oriented Programming with Python
  • What is Class and What are Objects?
  • What are Constructors?
  • Understand Static and Non-Static
  • Understand Data Abstraction and Data Encapsulation
  • Understand Inheritance
  • Types of Inheritance – Multiple, Multi-Level and Method Resolution Order (MRO)
  • Understand Polymorphism
  • Understand How to convert Traditional Code to Object Oriented Programming Code
  • Understanding Inheritance and Composition in Depth
  • Case Study: Object Oriented Programming
  • SOLID Design Principles with Python
  • Understanding Single Responsibility Principle with Python
  • Understanding Open-Closed Principle with Python
  • Understanding Liskov Subsititution Principle with Python
  • Understanding Interface Segregation Principle with Python
  • Understanding Dependency Inversion Principle with Python

Who Should Attend

  • Beginner Python Developers
  • Python Learners
  • Interested in understanding Object Oriented Programming with Python
  • Learn Python Programming in depth
  • Mastering Object Oriented Programming Principles in Python
  • Learn Best Practices in Programming
  • Learn SOLID Design Principles with Python
  • Understand Object Oriented Programming using Python with Case Study

Target Audiences

  • Beginner Python Developers
  • Python Learners
  • Interested in understanding Object Oriented Programming with Python
  • Learn Python Programming in depth
  • Mastering Object Oriented Programming Principles in Python
  • Learn Best Practices in Programming
  • Learn SOLID Design Principles with Python
  • Understand Object Oriented Programming using Python with Case Study

In this course you will understand in detail about Object Oriented Programming with Python. The Students who thinks Object Oriented Programming is very complex to understand and also to code after completing this course I can guarantee that you won’t be saying OOPs!.. Object Oriented Programming is complex, instead you feel that you are enjoying APIE.

In this course i have explained in detail about the 4 pillars of Object Oriented Programming in detail with multiple demos to understand the concept better.

The second module of this course will be a complete Case Study on Object Oriented Programming in Python by developing an sample application for Employee Management System.

The Third module of this course will explain the SOLID Design Principles implementation using Python, I have explained Single Responsibility Principle (SRP), Open Closed Principle (OCP), Liskov Substitution Principle (LSP), Interface Segregation Principle (ISP) and Dependency Inversion Principle (DIP)

I can guarantee you that you won’t be finding a better course to understand and master Object Oriented Programming with Pythonand also for Understanding SOLID Design Principles with Python.

I hope you will enjoy the journey of learning Object Oriented Programming with Python along with me.

See you in this course.

Course Curriculum

Chapter 1: Object Oriented Programming with Python

Lecture 1: Course Introduction

Lecture 2: Introduction

Lecture 3: What is a Class and What are Objects ?

Lecture 4: What are Constructors ?

Lecture 5: Demo: Understanding Classes, Objects and Constructors

Lecture 6: Understanding Static and Non-Static Members

Lecture 7: Demo: Understanding Static and Non-Static Members

Lecture 8: Demo: Implementing Static and Non-Static Members

Lecture 9: Understanding Data Abstraction and Data Encapsulation

Lecture 10: Demo: Implementing Data Abstraction and Data Encapsulation

Lecture 11: Understanding Inheritance

Lecture 12: Demo: Inheritance

Lecture 13: Demo: Method Overriding

Lecture 14: Demo: Multiple Inheritance

Lecture 15: Demo: Multi-Level Inheritance

Lecture 16: Demo: Method Resolution Order (MRO) in Inheritance

Lecture 17: Understanding Abstract Class

Lecture 18: Demo: Understanding Abstract Class

Lecture 19: Demo: Traditional Python Code Implementation

Lecture 20: Understanding How To Convert Traditional Python Code to OOP Implementation

Lecture 21: Demo: Tradition Python Code To OOP Implementation

Lecture 22: Understanding Polymorphism

Lecture 23: Demo: Polymorphism with Functions

Lecture 24: Demo: Operator Overloading

Lecture 25: Summary

Chapter 2: Case Study:Employee Management System with Object Oriented Programming in Python

Lecture 1: Introduction

Lecture 2: Understanding ‘is a’ relationship of Inheritance

Lecture 3: Understanding Composition

Lecture 4: Demo: Practically Understanding Inheritance

Lecture 5: Understanding Interfaces in Python using Payroll Management System

Lecture 6: Demo: Implementing Interfaces in Python using Payroll Management System

Lecture 7: Updating Payroll Management System to Employee Management System

Lecture 8: Demo: Implementing Payroll Management System to Employee Management System

Lecture 9: Demo: Understanding the Problems with Multiple Inheritance

Lecture 10: Demo: Understanding the importance of MRO to solve Multiple Inheritance Problem

Lecture 11: Avoiding the Diamond Problems in Multiple Inheritance

Lecture 12: Demo: Avoiding the Diamond Problems in Multiple Inheritance

Lecture 13: Demo: Understanding and Implementing Composition

Lecture 14: Summary

Chapter 3: SOLID Design Principles with Python

Lecture 1: Introduction

Lecture 2: Understanding Single Responsibility Principle (SRP)

Lecture 3: Demo: Understanding Single Responsibility Principle (SRP)

Lecture 4: Understanding Open Closed Principle (OCP)

Lecture 5: Demo: Understanding Open Closed Principle (OCP)

Lecture 6: Understanding Liskov Substitution Principle (LSP)

Lecture 7: Demo: Understanding the Limitations of “is a” Relationship | Inheritance

Lecture 8: Demo: Understanding Liskov Substitution Principle (LSP)

Lecture 9: Understanding Interface Segregation Principle (ISP)

Lecture 10: Demo: Understanding Interface Segregation Principle (ISP)

Lecture 11: Understanding Dependency Inversion Principle (DIP)

Lecture 12: Demo: Understanding Dependency Inversion Principle

Lecture 13: Summary

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 6 votes
  • 3 stars: 33 votes
  • 4 stars: 104 votes
  • 5 stars: 124 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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