OOPs Concepts in Python

Introduction

Object-oriented programming (OOPs) is a way of writing software programs. In OOPs each entity is considered an Object. It aims to build large, scalable, and modular software that solves real-world business problems. Some popular Object Oriented Programming entities are Inheritance, Polymorphisms, Encapsulation, Overloading, and Overriding.

 

The primary objective of OOPs concepts is to bind the variables and functions that work together as a single unit and call this block of codes at different places where similar functionality is required.

 

Why do we need Object Oriented Programming?

Object Oriented Programming(OOPs) reduces code complexity in software development and makes it simpler to read and use. Here are some of the features of OOPs explained below:

     

      1. Modularity : It helps us to write codes in small – small blocks. It breaks down complex codes into manageable form and increases the usability and readability of code. It provides clear structure of codes. It makes easy to understand especially when there are a large team associated with any software development.

      1. Reusability: Once a block of code is written that code can be used at multiple locations with little changes or no changes. This reduces the repetition of the same code and helps in memory management and decreases the latency of the program.

      1. Scalability: It is easy to manage and scale the software program according to future requirements. It’s easy to add classes and variables as the length of projects increases.

      1. Easy to Maintain: OOPs in Python make it easy to compile, debug, and test a certain block of code. Reusability enhances memory management.

     

     

    Why is Python an OOP?

    Python is an Object Oriented Programming language because it uses all the fundamental principles of it’s such as Objects, Class, Encapsulation, Inheritance, etc. It helps Python codes be easy to use and maintain. Python is very flexible. It supports both procedural and OOP concepts that make it versatile for different kind of applications.

     

    What are the 7 types of OOPs in Python?

    There are 7 concepts of OOPs in Python given below :

    Objects in Python
    Class in Python
    Function in Python
    Inheritance in Python
    Encapsulation in Python
    Polymorphism in Python
    Abstraction in Python

     

    Why Python is Popular?

    Python is a popular object oriented programming language because it is simple and flexible. It is versatile as different kind of projects can be developed. Python is very popular especially for data analysis and artificial intelligence applications.

    Python has a vast library that supports OOPs. User can also upload his/her own library to reuse. Python syntax are very simple that makes easy to learn and use. This makes very popular for students and new learner compared to other Object-Oriented Programming languages.

     

     

    Read More>>>

    Python Objects and Classes

    Python User Defined Functions With Code Examples

    Inheritance in Python With Code Examples

     

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