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Object Oriented Programming in Python™ - Beginner to Beyond

LeeAndro

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Trusted Editor
Object Oriented Programming in Python™ - Beginner to Beyond
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 35 lectures (5 hour, 35 mins) | Size: 1.38 GB

Object-Oriented Programming has been a wide and traditional approach to solving real-world problems.


What you'll learn

Using 'let' and 'const' for the scopes, hoisting and declaring variables

Using the new type of operators ( spread and rest) to manipulate arrays and function arguments

Practicing the strings using Template literals for multi-line statements and using values in statements

New Objects, Array , string, number and other built-in methods introduced in ES6

Assigning Default values to arguments in functions

New way of creating functions using arrow functions and its implementations

De-structuring the objects and arrays

New Data type Symbols and data structures Sets, Maps, Weak Maps and Weak Sets

Object Oriented Programming In ES6

Using Modules and Generator Functions

Modern way of perfog asynchronous functions using Promise

The difference between ES5 and ES6

Requirements

Basic Knowledge of Programming

Basic Knowledge of HTML, CSS and javascript ( DOM)

A proper IDE for quick practice such as VS Code, Brackets

Description

Traditional languages for OOP were Java and C++, but somehow Python has emerged as a very huge scale and also supports the Object-Oriented paradigm of programming where real-world components are considered objects and solved accordingly

Python being one of the emeg languages of today's era highly supports Object-Oriented aspects and has provided many built-in functionalities for developer's ease. Also, Python doesn't fully support each aspect of OOP but still, it is considered

The object-Oriented paradigm provides many ways to solve problems in different ways and more efficient ones. The developer has to think and design the whole system to create possible solutions using OOP techniques such as inheritance, polymorphism

While Python is also considered for the data science and machine learning domain. So creating ease and providing a way to solve problems helps a lot to achieve the targets

With a bunch of support from the Python libraries, Python has been highly used. OOP concepts have been widely used in many Python libraries.

Who this course is for:

Students want to learn and improve their skills in Object Oriented Programming

Bner programmers who wish to understand object oriented programming in-depth for a better carrier

Students who has some basic Java skills and want to advance their skills to be Java Professionals



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