Python Coding Intermediate: Python Classes, Methods and OOPs

• Master Principles And Understanding Of Object Oriented Programming In Python
• You Will Learn How To Reuse Code For New Projects Implementations
• Learn About 4 Pillars Of Object Oriented Programming!
• You Will Learn Each Important Topic – Classes, Object, Inheritance, Abstraction And More With Real-world Examples
• Learn To Write Clean And Proper Python Code With OOPs Concept.
• Apply How To Handle Error And Exceptions on Run Time With Python
• Learn to Apply Modules and Packages Library
• Working with Files like .csv File Import Using Pandas Module for Data Science

Course Content

Introduction

1. 1. Course Introduction
   2. Course Curriculum
   3. How to get Pre-requisites
   4. Getting Started on Windows, Linux or Mac
   5. How to ask Great Questions
   6. FAQ’s

Class

1. 1. Introduction to Class
   2. Create a Class
   3. Calling a Class Object
   4. Class Parameters – Objects
   5. Access Modifiers(theory)
   6. Summar

Methods

1. 1. Introduction to methods
   2. Create a method
   3. Method with parameters
   4. Method default parameter
   5. Multiple parameters
   6. Method return keyword
   7. Method Over loading
   8. Summary

OOPs Object Oriented Programming

1. 1. Introduction to OOPs
   2. Classes and Objects
   3. Class Constructors
   4. Assessment Test1
   5. Solution for Assessment Test1
   6. Summary

Inheritance and Polymorphism 

1. 1. Introduction
   2. Inheritance
   3. Getter and Setter Methods
   4. Polymorphism
   5. Assessment Test2
   6. Solution for Assessment Test2
   7. Summary

Encapsulation and Abstraction 

1. 1. Introduction
   2. Access Modifiers (public, protected, private)
   3. Encapsulation
   4. Abstraction
   5. Summary

Python Games for Intermediate

1. 1. Introduction
   2. Dice Game
   3. Card and Deck Game Playing
   4. Summary

Modules and Packages

1. 1. Introduction
   2. PIP command installations
   3. Modules
   4. Naming Module
   5. Built-in Modules
   6. Packages
   7. List Packages
   8. Summary

Working Files with Pandas 

1. 1. Introduction
   2. Reading CSV files
   3. Writing CSV files
   4. Summary

Error and Exception Handling

1. 1. Introduction
   2. Errors – Types of Errors
   3. Try – Except Exceptions Handling
   4. Creating User Defined Message
   5. Try-Except-Finally Blocks
   6. Summar

What’s Next

1. 1. Bonus Lecture What’s Next