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Learn Python OOP and Improve Your Python Programming Skills by Writing Code That Is Readable, Modular, and Reusable

What you will learn

Understand the importance of using object-oriented programming

Learn basic principles on how to build programs faster using Python

How to use and apply polymorphism in object-oriented styles with many strategies

Practice Object-oriented programming from basics to advanced level using modern Python

Learn encapsulation and discover how to wrap data and codes together into a single unit

Basic knowledge of how to abstract a problem in object-oriented programming in action

Description

Object-oriented programming (OOP) in Python is important for any software developer because it has a wide usage in the industry. It is a course any software engineers or aspiring software engineers need to put on their catalog to learn and master well because of its importance.

OOP utilizes the concept of objects and classes and it is an important programming model for representing real objects as software objects. As a software developer or engineer, you need to learn an important concept in this type of programming putting into consideration many practical examples.

This course features various exercises that will help you learn object-oriented programming in Python, and build programs faster. This object-oriented programming course exists for software engineers and developers because of its significance and numerous advantages in the software industry.

Furthermore, it is a popular programming model with its many advantages and vital existence in every aspect of software apart from the fact that it’s easy to learn, read and understand within a short time. The course put more focus on the thinking process, the implementation of what the developer is trying to manipulate other than the required logic to manipulate it.

Why should I learn this course?

Modularity: encapsulation enables objects to be self-contained and gives a clear modular structure for collaboration and troubleshooting code.


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Easy programming: It makes programming easier, and use for solving problems in a more creative process by breaking the program into bit-sized problems which are then solved easily.

Increase productivity: Object-oriented programming guarantees greater programmer productivity, better quality software, and a low cost of maintenance. Learn programming languages to help you create outstanding professional programs and codes that are understandable, adaptable, and extendable.

Learning from professionals: the program is designed to be learned from a pool of experienced experts in the field of software programming. The course is integrated with the practical experience of well-known experts which makes learning easier.

The Ultimate Object-Oriented Programming in Python Course for Beginners

Learning Object-oriented programming as a beginner requires an understanding of how to implement and take advantage of the features that are available in OOP (Object-oriented programming) which can be discouraging. Having an Insight into the various functionalities of Object-oriented programming is very essential since it’s one of the most prominent coding methods which allows programmers to create a unique structure, reuse code, and develop code faster.

English
language

Content

Introduction

Introduction to Object Oriented Programming

Classes & Objects

Create Your First Class with OOP
Classes in Detail
Exercise on Class
Methods
Exercise 1 on Methods
Exercise 2 on Methods
Class Variables
Exercise on Class Variables
Object techniques + Class variables (Part 1)
Object techniques + Class variables (Part 2)
Issue in Class

Types of Methods

Class Method (Part 1)
Class Method (Part 2)
Static Method
Exercise on Static Method (Part 1)
Exercise on Static Method (Part 2)
Exercise on Static Method (Part 3)

OOP Building Blocks

Abstraction and Encapsulation
Introduction to Inheritance
Multilevel Inheritance: Part 1
Multiple Inheritance: Part 2
Method Overriding & MRO
isinstance() & issubclass()
Naming Convention
Name Mangling in Python
Dunder Methods or Magic Methods
Operator Overloading
Polymorphism