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Python Coding Intermediate: Python Classes, Methods and OOPs

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Python Coding Intermediate: Python Classes, Methods and OOPs, available at $49.99, has an average rating of 4.29, with 62 lectures, based on 120 reviews, and has 6375 subscribers.

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You will learn about Master Principles And Understanding Of Object Oriented Programming In Python You Will Learn How To Reuse Code For New Projects Implimentations 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 This course is ideal for individuals who are Beginner Python developers curious about data science or Anyone who want learn Python skills on Object Oriented Programming (OOPs) or Anyone who want to grasp the concept with real world example coding. or Anyone who wants to become a Full stack web developer or Anyone who wants to become independent programmer It is particularly useful for Beginner Python developers curious about data science or Anyone who want learn Python skills on Object Oriented Programming (OOPs) or Anyone who want to grasp the concept with real world example coding. or Anyone who wants to become a Full stack web developer or Anyone who wants to become independent programmer.

Enroll now: Python Coding Intermediate: Python Classes, Methods and OOPs

Summary

Title: Python Coding Intermediate: Python Classes, Methods and OOPs

Price: $49.99

Average Rating: 4.29

Number of Lectures: 62

Number of Published Lectures: 62

Number of Curriculum Items: 62

Number of Published Curriculum Objects: 62

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Master Principles And Understanding Of Object Oriented Programming In Python
  • You Will Learn How To Reuse Code For New Projects Implimentations
  • 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

Who Should Attend

  • Beginner Python developers curious about data science
  • Anyone who want learn Python skills on Object Oriented Programming (OOPs)
  • Anyone who want to grasp the concept with real world example coding.
  • Anyone who wants to become a Full stack web developer
  • Anyone who wants to become independent programmer

Target Audiences

  • Beginner Python developers curious about data science
  • Anyone who want learn Python skills on Object Oriented Programming (OOPs)
  • Anyone who want to grasp the concept with real world example coding.
  • Anyone who wants to become a Full stack web developer
  • Anyone who wants to become independent programmer

Welcome to Object-Oriented Programming With Python,One single course to start your Object-Oriented Journey Step-by-Step, This course teaches each and every important concept of OOPS examples with its latest version.

Pythonis a beautiful cross-platform language that can be used to build a variety of applications. With Python language, you can create web apps, data science, robot, IoT, ai, analytics, games, websites, and desktop applications.

Learn Python, The first step to Python you need to learn to succeed in application development, it is easy to learn and understand our online Python Basics Training course is designed for you with the complete steps to require learn Basic topics. Mr. Sudha Sekhar will explain to you even complex topics to simplify and teach you that even beginners can easily understand with real-time examples.

Create a Good and Strong base foundation in Python OOPs Concepts using Pycharm Community IDE.

Once you master Python Object Oriented ProgrammingConcepts, you’ll have lots of options in front of you. You can choose to build more apps if you prefer, or change jobs and work as a Python developer. As long as you know the fundamentals with oops well, switching to different technology stacks are pretty easy for you.

knowing these Python OOPs programming techniques you may easily switch over to any other programming languages as well

learn what is Generative AI techniques

Learn from real-world experts

By learning these Python skills, you will be eager to learn other web development languages very quickly which lead you to become a successful web developer.

If you really want to learn Python, This Python Object Oriented ProgrammingCourse is for you to develop your skills more than others and you will become strong in Python app Code Development.

THE COMPLETE Python PACKAGE

This course is the first level of Sekhar’s complete Python series on Udemy:

Level 1: Learn Python Basics Coding for Absolute Beginners: Python Fundamentals

Level 2: Learn Python Intermediate: Classes and Object-Oriented Programming

Level 3: Learn Python Advanced: Django Web Application Development by Coding

ABOUT YOUR INSTRUCTOR

Sekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling Udemy courses with more than 50,000+ students in many countries. He has a Master of Science in Computer Applications in Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Course Curriculum

Lecture 3: How to get Pre-requisites

Lecture 4: Getting Started on Windows, Linux or Mac

Lecture 5: How to ask Great Questions

Lecture 6: FAQ’s

Lecture 7: What is Source code

Lecture 8: Learn What is Generative AI / Gen AI

Chapter 2: Class

Lecture 1: Introduction to Class

Lecture 2: Create a Class

Lecture 3: Calling a Class Object

Lecture 4: Class Parameters – Objects

Lecture 5: Access Modifiers(theory)

Lecture 6: Summary

Chapter 3: Methods

Lecture 1: Introduction to methods

Lecture 2: Create a method

Lecture 3: Method with parameters

Lecture 4: Method default parameter

Lecture 5: Multiple parameters

Lecture 6: Method return keyword

Lecture 7: Method Over loading

Lecture 8: Summary

Chapter 4: OOPs Object Oriented Programming

Lecture 1: Introduction to OOPs

Lecture 2: Classes and Objects

Lecture 3: Class Constructors

Lecture 4: Assessment Test1

Lecture 5: Solution for Assessment Test1

Lecture 6: Summary

Chapter 5: Inheritance and Polymorphism

Lecture 1: Introduction

Lecture 2: Inheritance

Lecture 3: Getter and Setter Methods

Lecture 4: Polymorphism

Lecture 5: Assessment Test2

Lecture 6: Solution for Assessment Test2

Lecture 7: Summary

Chapter 6: Encapsulation and Abstraction

Lecture 1: Introduction

Lecture 2: Access Modifiers (public, protected, private)

Lecture 3: Encapsulation

Lecture 4: Abstraction

Lecture 5: Summary

Chapter 7: Python Games for Intermediate

Lecture 1: Introduction

Lecture 2: Dice Game

Lecture 3: Card and Deck Game Playing

Lecture 4: Summary

Chapter 8: Modules and Packages

Lecture 1: Introduction

Lecture 2: PIP command installations

Lecture 3: Modules

Lecture 4: Naming Module

Lecture 5: Built-in Modules

Lecture 6: Packages

Lecture 7: List Packages

Lecture 8: Summary

Chapter 9: Working Files with Pandas

Lecture 1: Introduction

Lecture 2: Reading CSV files

Lecture 3: Writing CSV files

Lecture 4: Summary

Chapter 10: Error and Exception Handling

Lecture 1: Introduction

Lecture 2: Errors – Types of Errors

Lecture 3: Try – Except Exceptions Handling

Lecture 4: Creating User Defined Message

Lecture 5: Try-Except-Finally Blocks

Lecture 6: Summary

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 8 votes
  • 3 stars: 16 votes
  • 4 stars: 27 votes
  • 5 stars: 69 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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