Object Oriented Python Programming - Level 2

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Posted on 29 Oct 14:40 | by mitsumi | 33 views

For MachineLearning, DataScience, FullStackDevopment

What you'll learn
Core components of Python's Object Oriented Programming like Objects, Classes, Methods and Dunder methods.
Understand and use the concept of Inheritance, Decorators and Closures
Understand the Errors / Issues they may face in Object Oriented Environment
Essential knowledge for Development of Application for Task Automation
Requirements
Basic Python programming knowledge is required.
Description
In Current IT Industry, the popularity of Python grows exponentially to the peak. Have you wondered why Python is so popular ? It is because of its simplicity in solving real world problem and in developer's point of view, the language itself is so simple and easy to understand. This nature of Python allows a person even from a non-programming background to have an easy hand of it. Though it has simpler syntax, the Open Source feature of Python brought an extensive libraries that helps with pre-defined modules which can be straight away used in our code. This Interpreter language supports portability that helps us to run python program in almost all platform/operating systems. In this course we will discuss about object oriented python programming concepts with hands on examples. Working out the concepts with different possible examples gives you a strong foundation in language.
Most of the real time applications such as web parsing, SSH Connections, Excel operations, Web frame work, machine learning libraries etc.requires Python's Object oriented programming skills.
Because, this style of programming helps programmers to reduce code with re usability techniques.
In this course you will learn fundamental understanding of class and object design model.
By the end of the course, you can understand/ modify the existing python project code and develop applications by creating
custom class and define own attributes based on the business use case.
Who this course is for
Students Aspiring for IT Industry, Software Developer, Devops Engineers, DBA, System Administrator, Test Engineers

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