Is Python Object Oriented Programming Language?


Is Python Object Oriented Programming Language?

Python has dominated the modern programming languages for its specialized use in machine learning, artificial intelligence, big data, automation scripts, and much more. As a Python learner or programmer, the first question strikes that Is Python Object Oriented or procedural programming language. This is a primary question that comes into beginners mind while learning or preparing for python programming language.  

Python has already influenced various programming languages like Kotlin, Cobra, Boo, ECMAScript, etc. It 

Programming languages are designed and developed to satisfy the needs of programmers and make it an  effective tool to design & develop applications which impact lives, lifestyles, economy, and society. So, Python is no exception, it also provides all the features as compared to other most popular programming languages like C++, Java.

The prime motive of good Programming languages is to make programmers lives better by increasing productivity, enhancing communication, and improving efficiency, flexibility, and maintainability.

So, As a Developer or Programmer, the very first question comes to mind is python object-oriented or procedural language?

Getting Acquainted with Python

Python is a high-level, open-source programming language designed & developed by Guido van Rossum in the late 1980s. It is now administered and maintained by Python Software Foundation. Python provides with rich set of inbuilt features, strong language constructs for developers to use it for any type of programming problem. Its main uses include scripting, machine learning, AI, and Big Data Analysis.

Over the years, Python has replaced all the existing scripting language and even it can be extended into C, C++.

So, which types of language Python is…? Let’s understand it?

Learn how to write Python 1st program:

Is python Object Oriented like C++ and Java?

Yes, Python is an objected oriented programming language. What does objected-oriented mean for Python? Object-Oriented is a new programming paradigm. In simple object-oriented is a modern way of designing and programming the real-world problems where each every problem is treated as an object.

Object-oriented Python provides developers with basic features classes, objects, inheritance, etc and allows the programmer to define, create, and manipulate objects. Objects bundle together data and functions. Like other variables, each Python object has a type or class. The terms class and type are synonymous.

Python follows an object-oriented programming paradigm which enables developers to leverage all the features of OOP concepts in python programs. So to support this concept, Python provides classes, inheritance, constructor, destructor, objects, and all features of OOP.

Like other object-oriented programming languages C++, Java, PHP, Python is also an object-oriented programming language which enables the programmers to use control and manage a set of objects to create and execute python programs. Every type in Python is a class.

Basic OOP Concepts in Python

Let’s have a quick look over the basic characteristics of OOP in Python:

Python Class
A class is user-defined data type to define the skeleton of an object. Python does allow developers to create classes to shape objects. Its a blueprint of an object to be created. Class in Python is created using the class keyword as below:

class TechCluesBlog:
x = 5

Object in Python

An object is a variable of type class which holds data and associated methods (functions) to manipulate that data.
Its an instance of the class which contains both data and methods. For example – Integers, floating-point numbers, strings, and functions are all objects in Python.

Create a Python Object

obj1 = TechCluesBlog()

Python Methods 

Methods in Python are functions containing a set of code statements to manipulate the associated data members.

Call Method in Python

object. method name ( parameter list )

Python Class Members

Class is a specification of an object. It specifies attributes and functions called as members of the class.

Python Inheritance

Inheritance in Object-oriented programming is a way of extending the existing feature for additions. It also provides code reusability.

Python Constructor

A Constructor is like a class member function used to construct and initialize objects of a class.

Syntax of constructor declaration :

def __init__(self):
    # body of the constructor

Polymorphism in Python

Polymorphism is the ability to use the same thing for more than one purpose. For example functions() designed for a particular task can be used to perform more than one task. 

# Here len() function is an example of polymorphsm being used for a string
# Here len() function is an example of polymorphsm being used for a list
print(len([10, 20, 30]))

Basic OOP Terminology in Python

  • Instance: A variable of type class.
  • attribute: One of the named values associated with an object, member variables.
  • object: An object that is stored as an attribute of another object.
  • shallow copy: To copy the contents of an object, including any references to embedded
  • objects; implemented by the copy function in the copy module.
  • deep copy: To copy the contents of an object as well as any embedded objects, and any
  • object diagram: A diagram that shows objects, their attributes, and the values of the attributes.

Python Object Oriented vs Procedural

Both Object-Oriented and Procedure Oriented are programming approaches to solve real-world problems. Technically, these programming terms are known as programming paradigms. After requirement analysis, the next step for a programmer is to choose the right programming approach to solve the problem, Object-Oriented and procedural are both such programming paradigms.

Procedural programming is a traditional way of organizing and designing the programs to solve a particular problem where the entire problem was divided into multiple procedures (i.e functions). Take an example of designing a Calculator program in a procedural language, we would have split the problem into multiple functions addition(), subtraction(), calculate(), etc not more than that language facilities. Procedures are also called as routines, subroutines or functions.

Some Examples of Procedural Programming:


On the other side, an Object-Oriented is a modern way of designing and organizing the programs to solve particular problems. In object-oriented, every problem is treated as a set of objects, an object can be any entry participating in the program like Integers, structures, arrays. The second part is methods which manipulate data. It follows a top-down approach to actually solve a problem, hence the name

Some Examples of Object-Oriented Programming:

  • Java
  • C++
  • C#
  • Python
  • PHP
  • JavaScript
  • Ruby
  • Perl
  • Objective-C
  • Dart
  • Swift
  • Scala

To conclude, Python enables programmers to use both object-oriented and procedural approaches while writing python programs.

As an object-oriented Python allows developers to create classes, objects and implement all features of OOPS except encapsulation. And the procedural programming it allows developers to split the problem into multiple functions which are executed step-by-step one after another.

Is object-oriented programming better than procedural?

Is Python Object-Oriented or Procedural Language?

Both. Object-Oriented and procedural are programming paradigms to design and develop programs to solve problems. Python supports both paradigms using which programmers can write their python applications.

Is python a Pure Object-Oriented?

No. Python is not a pure object-oriented programming language. Python does not support strong encapsulation functionality which is core OOP feature important feature as compared to another object-oriented language C++, Java, etc.

However, it provides all the OOP features for application developers except the encapsulation.

Important Python References

  1. Python Object Oriented
  2. Python Official Documentation
  3. Python Machine Learning

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