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This plan includes
- Limited free courses access
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- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
This plan includes
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HD Video Recorded Lectures- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Direct Support
- Email & Chat Support
- Cancel Anytime
What you'll 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
Course Overview
Welcome to Object-Oriented Programming With Python, One single course to start your Object-Oriented Journey from Step-by-Step, This course teach each and every important concept of OOPS examples with it's latest version.
Python is 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(MCP) will explain to you even complex topics to simplify and teach you 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 in Python Object Oriented Programming Concepts, 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 is pretty easy for you.
knowing these Python OOPs programming techniques to you may easily switch over to any other programming languages as well
Learning with these Python skills, you will be eager to learn other web development languages very quickly that lead you to become a successful web developer.
If you really want to learn Python, This Python Object Oriented Programming Course is for you to develop your skills more than others and you will become strong on Python app Code Development.
Pre-requisites
- You Should Be Familiar With Basic Python Fundamentals
- Having Basic knowledge on Python, You will learn everything you need to know on OOPs
Target Audience
- Beginner Python developers curious about data science
- Anyone who want learn Python skills by learning the basics of Object Oriented Programming (OOPS)
- Anyone who want to grasp the concept with real world example coding.
Curriculum 61 Lectures 04:57:23
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Section 1 : 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
-
Section 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
-
Section 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
-
Section 4 : OOPs Object Oriented Programming
- Lecture 1 :
- a. Introduction to OOPs
- Lecture 2 :
- b. Classes and Objects
- Lecture 3 :
- c. Class Constructors
- Lecture 4 :
- d. Assessment Test1
- Lecture 5 :
- e. Solution for Assessment Test1
- Lecture 6 :
- f. Summary
-
Section 5 : Inheritance and Polymorphism
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Inheritance
- Lecture 3 :
- c. Getter and Setter Methods
- Lecture 4 :
- d. Polymorphism
- Lecture 5 :
- e. Assessment Test2
- Lecture 6 :
- f. Solution for Assessment Test2
- Lecture 7 :
- g. Summary
-
Section 6 : Encapsulation and Abstraction
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Access Modifiers (public, protected, private)
- Lecture 3 :
- c. Encapsulation
- Lecture 4 :
- d. Abstraction
- Lecture 5 :
- e. Summary
-
Section 7 : Python Games for Intermediate
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Dice Game
- Lecture 3 :
- c. Card and Deck Game Playing
- Lecture 4 :
- d. Summary
-
Section 8 : Modules and Packages
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. PIP command installations
- Lecture 3 :
- c. Modules
- Lecture 4 :
- d. Naming Module
- Lecture 5 :
- e. Built-in Modules
- Lecture 6 :
- f. Packages
- Lecture 7 :
- g. List Packages
- Lecture 8 :
- h. Summary
-
Section 9 : Working Files with Pandas
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Reading CSV files
- Lecture 3 :
- c. Writing CSV files
- Lecture 4 :
- d. Summary
-
Section 10 : Error and Exception Handling
- Lecture 1 :
- a. Introduction
- Lecture 2 :
- b. Errors – Types of Errors
- Lecture 3 :
- c. Try - ExceptExceptions Handling
- Lecture 4 :
- d. Creating User Defined Message
- Lecture 5 :
- e. Try-Except-FinallyBlocks
- Lecture 6 :
- f. Summary
-
Section 11 : What’s Next
- Lecture 1 :
- a. Bonus Lecture What’s Next
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