OOP in Python - Object Oriented Programming for Beginners

Learn OOP in Python with Scopes, Hoisting, Rest Operator, Arrow Functions, Classes, Destructuring, Generators, Weakmaps

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 performing asynchronous functions using Promise
• The difference between ES5 and ES6

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. OOP concepts have been widely used in many Python libraries.