Description

Learn Object-oriented Programming in Python-beginner-level! (Exercises + cheat sheets + better Coding)!

Welcome to Object-Oriented Programming With Python-A Practical Guide, a one-stop course that will kick-start your object-oriented journey step-by-step, This course covers every important concept of OOPS with its latest version Python 3.7. OOP is one of the most important programming concepts because it: Makes visualization easier (as closest as possible to real-world scenarios) Reuses code, saves time, reduces code lines, and shrinks your project. Makes code readable by adding a structure to data with related methods. Uses modularity for easier troubleshooting Reuses code through inheritance Imparts flexibility through polymorphism This course will help you explore classes, objects, abstraction, encapsulation, inheritance, and polymorphism. We also focus on the DRY (Don't Repeat Yourself) approach to improving our code-writing and problem-solving skills. Throughout the course, you will get tons of quiz, sample code, and theory material to help you revise the course effectively. After completing this course, you will have attained the industry standard and will be ready to work as an intern, fresher, or freelancer; you will also be able to implement everything you need on your website. All the supporting course files are placed at-https://github.com/PacktPublishing/Object-oriented-Programming-With-Python---A-Practical-Guide

What You Will Learn

Reuse old code for new projects
Write clean and proper Python code
Learn about the four pillars of Object-Oriented Programming!
Learn how to handle errors and exceptions with Python

Audience

This course targets all skill levels. People entirely new to the Object-Oriented Programming world; those already using Python and keen to enhance their Python skills by learning the basics of Object-Oriented Programming (OOPS) with real examples; software engineers; software developers; and software architects will all benefit from this course.

Approach

This course introduces you to Object-Oriented Programming using Python. The author teaches complex concepts in a simple way; thus, even if you have no previous coding experience, you'll learn everything step-by-step in the correct sequence.

Key Features

Master Object-Oriented Programming (and its principles) in Python * Learn every important topics-classes, objects, inheritance, abstraction, and more with proper examples * Access Python cheat sheets to master core Python concepts * Understand how Object-Oriented Programming Is more efficient than Procedure-Oriented Programming

Github Repo

https://github.com/packtpublishing/object-oriented-programming-with-python---a-practical-guide

About the Author

Shubham Sarda

Shubham is a software developer and digital marketer with a passion for teaching. He has worked with many funded start-ups, self-projects, and as a top-rated freelancer on multiple marketplaces. Currently, he stands among the top 700 freelancers with over 2,500+ projects on Fiverr, PeoplePerHour, Freelancer, and more. As an instructor, he has taught programming and digital marketing to over 20,000 students, both with online courses and offline bootcamps. He has mastered explaining complex topics in the simplest form that is easy to understand and follow. His video courses are also used by companies to train their employees and by colleges to prepare and upgrade their students according to the latest industry requirements.

Course Outline

1. Introduction - Object Oriented Programming (OOP)

This section will give you a brief introduction to the course.

1. Introduction to Object Oriented Programming (OOP)

Introduction to Object Oriented Programming (OOP): Introduction to Object Oriented Programming (OOP)

2. Classes and Objects

This section introduces you to Classes and Objects.

1. Classes and Objects in Python (OOP)

Classes and Objects: Classes and Objects in Python (OOP)

2. Understanding init() Method and 'self ' Parameter

Classes and Objects: Understanding init() Method and 'self ' Parameter

3. Solving Task: OOPS

Classes and Objects: Solving Task: OOPS

4. Defining Multiple Constructors in Python?

Classes and Objects: Defining Multiple Constructors in Python?

3. Encapsulation

In this section, we'll learn about Encapsulation.

1. Encapsulation

Encapsulation: Encapsulation

2. Public And Private Methods

Encapsulation: Public And Private Methods

4. Inheritance

In this section, we'll learn about Inheritance

1. Inheritance

Inheritance: Inheritance

2. Getter and Setter

Inheritance: Getter and Setter

3. Creating And Importing Module

Inheritance: Creating And Importing Module

4. Creating User Defined Module

Inheritance: Creating User Defined Module

5. Multiple Inheritance

Inheritance: Multiple Inheritance

6. Understanding super() Function [Part 1]

Inheritance: Understanding super() Function [Part 1]

7. Understanding super() Function [Part 2]

Inheritance: Understanding super() Function [Part 2]

5. Abstraction And Polymorphism

This section will help you understand Abstraction And Polymorphism.

1. Composition

Abstraction And Polymorphism: Composition

2. Aggregation

Abstraction And Polymorphism: Aggregation

3. Abstract Classes

Abstraction And Polymorphism: Abstract Classes

4. Discussing Over import And from

Abstraction And Polymorphism: Discussing Over import And from

5. Operator Overloading [Part 1]

Abstraction And Polymorphism: Operator Overloading [Part 1]

6. Operator Overloading [Part 2]

Abstraction And Polymorphism: Operator Overloading [Part 2]

6. Errors and Exceptions Handling

In this section, we'll learn to handle Errors and Exceptions.

1. Errors - Types of Errors!

Errors and Exceptions Handling: Errors - Types of Errors!

2. Exceptions

Errors and Exceptions Handling: Exceptions

3. Exceptions Handling Introduction

Errors and Exceptions Handling: Exceptions Handling Introduction

4. Exceptions Handling

Errors and Exceptions Handling: Exceptions Handling

5. Try, Except, Else and Finally

Errors and Exceptions Handling: Try, Except, Else and Finally

6. Raising Exception

Errors and Exceptions Handling: Raising Exception

7. Creating User Defined Exception

Errors and Exceptions Handling: Creating User Defined Exception

7. if __name__ == "__main__"

In this section, we'll see if __name__ == "__main__".

1. if __name__ == "__main__"

if __name__ == "__main__": if __name__ == "__main__"

8. Important Convention To Follow

In this section, we'll learn about some important Convention To Follow.s

1. Python Naming Convention (Classes, Variables, Functions, Methods ...)

Important Convention to Follow: Python Naming Convention (Classes, Variables, Functions, Methods ...)

9. Bonus

This is a Bonus lecture.

1. Thank You For Being Here!

Bonus: Thank You For Being Here!

Course Images

Object-oriented Programming with Python - A Practical Guide

By Packt

Booking options

Highlights

Description

Course Content

About The Provider

Tags

Reviews