OOPs in Python

OOPs in Python

Python OOPs Concepts

Like other general-purpose programming languages, Python is also an object-oriented language since its beginning. It allows us to develop applications using an Object-Oriented approach. In?Python, we can easily create and use classes and objects.

An object-oriented paradigm is to design the program using classes and objects. The object is related to real-word entities such as book, house, pencil, etc. The oops concept focuses on writing the reusable code. It is a widespread technique to solve the problem by creating objects.

Major principles of object-oriented programming system are given below.

  • Class
  • Object
  • Method
  • Inheritance
  • Polymorphism
  • Data Abstraction
  • Encapsulation

Class

The class can be defined as a collection of objects. It is a logical entity that has some specific attributes and methods. For example: if you have an employee class, then it should contain an attribute and method, i.e. an email id, name, age, salary, etc.

What is Python

Python?is a general purpose, dynamic,?high-level, and interpreted programming language. It supports Object Oriented programming approach to develop applications. It is simple and easy to learn and provides lots of high-level data structures.

Python is?easy to learn?yet powerful and versatile scripting language, which makes it attractive for Application Development.

Python's syntax and?dynamic typing?with its interpreted nature make it an ideal language for scripting and rapid application development.

Python supports?multiple programming pattern, including object-oriented, imperative, and functional or procedural programming styles.

Python is not intended to work in a particular area, such as web programming. That is why it is known as?multipurpose?programming language because it can be used with web, enterprise, 3D CAD, etc.

We don't need to use data types to declare variable because it is?dynamically typed?so we can write a=10 to assign an integer value in an integer variable.

Python makes the development and debugging?fast?because there is no compilation step included in Python development, and edit-test-debug cycle is very fast.

Why learn Python?

Python provides many useful features to the programmer. These features make it most popular and widely used language. We have listed below few-essential feature of Python.

  • Easy to use and Learn
  • Expressive Language
  • Interpreted Language
  • Object-Oriented Language
  • Open Source Language
  • Extensible
  • Learn Standard Library
  • GUI Programming Support
  • Integrated
  • Embeddable
  • Dynamic Memory Allocation
  • Wide Range of Libraries and Frameworks

Where is Python used?

Python is a general-purpose, popular programming language and it is used in almost every technical field. The various areas of Python use are given below.

  • Data Science
  • Date Mining
  • Desktop Applications
  • Console-based Applications
  • Mobile Applications
  • Software Development
  • Artificial Intelligence
  • Web Applications
  • Enterprise Applications
  • 3D CAD Applications
  • Machine Learning
  • Computer Vision or Image Processing Applications.
  • Speech Recognitions

Python Popular Frameworks and Libraries

Python has wide range of libraries and frameworks widely used in various fields such as machine learning, artificial intelligence, web applications, etc. We define some popular frameworks and libraries of Python as follows.

  • Web development (Server-side) -?Django Flask, Pyramid, CherryPy
  • GUIs based applications -?Tk, PyGTK, PyQt, PyJs, etc.
  • Machine Learning -?TensorFlow, PyTorch,?Scikit-learn, Matplotlib, Scipy, etc.
  • Mathematics -?Numpy, Pandas, etc.

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