OOP in Python – Object Oriented Programming for Beginners

OOP in Python – Object Oriented Programming for Beginners, available at $19.99, has an average rating of 3.56, with 35 lectures, based on 9 reviews, and has 4531 subscribers.

You will learn about 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 performing asynchronous functions using Promise The difference between ES5 and ES6 This course is ideal for individuals who are Students want to learn and improve their skills in Object Oriented Programming or Beginner programmers who wish to understand object oriented programming in-depth for a better carrier or Students who has some basic Java skills and want to advance their skills to be Java Professionals It is particularly useful for Students want to learn and improve their skills in Object Oriented Programming or Beginner programmers who wish to understand object oriented programming in-depth for a better carrier or Students who has some basic Java skills and want to advance their skills to be Java Professionals.

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Summary

Title: OOP in Python – Object Oriented Programming for Beginners

Price: $19.99

Average Rating: 3.56

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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 performing asynchronous functions using Promise
The difference between ES5 and ES6

Who Should Attend

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

Target Audiences

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

Object-Oriented Programming with Python has been a wide and traditional approach to solving real-world problems. 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 emerging 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. OOPconcepts have been widely used in many Pythonlibraries.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to JS ES6

Lecture 2: What’s New In ES6

Chapter 2: Module 1:

Lecture 1: i.Scopes

Lecture 2: ii. Hoisting

Lecture 3: iii. Template Literals

Lecture 4: iv. Default Parameters

Lecture 5: v.Rest Operator

Lecture 6: vi. Spread Operator

Lecture 7: vii. Arrow Functions

Lecture 8: viii. Arrow Functions with map, filter , reduce

Lecture 9: FAQs

Lecture 10: Answer of the FAQs

Chapter 3: Module 2:

Lecture 1: i. for .. of iterator

Lecture 2: ii. Destructuring Part 1

Lecture 3: iii. Destructuring Part 2

Lecture 4: iv. Enhanced Object Properties And Methods

Lecture 5: v. Symbol

Lecture 6: vi. Set And Map

Lecture 7: vii. Weakmaps and Weak Sets

Lecture 8: viii. New Array Methods

Lecture 9: Ix. New Built-in Methods

Lecture 10: Frequently Asked Questions

Lecture 11: Answers o the FAQs

Chapter 4: Module 3:

Lecture 1: i.Classes

Lecture 2: ii. Classes Inheritance

Lecture 3: iii. Setters and Getters

Lecture 4: iv. Modules

Lecture 5: v. Generators Part 1

Lecture 6: vi. Generators Part 2

Lecture 7: vii. Promise Part 1

Lecture 8: viii. Promises Part 2

Lecture 9: Frequently Asked Questions

Lecture 10: Answer of the FAQs

Chapter 5: Bonus Section

Lecture 1: Frequently Asked Questions

Lecture 2: Answer of the Final FAQs

Instructors

Apex Education
Quality Training & Resources – A Step Ahead

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 1 votes
5 stars: 3 votes

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