What’s New ?

The Top 10 favtutor Features You Might Have Overlooked

Read More

Constructor in Python

  • Oct 03, 2023
  • 5 Minutes Read
  • Why Trust Us
    We uphold a strict editorial policy that emphasizes factual accuracy, relevance, and impartiality. Our content is crafted by top technical writers with deep knowledge in the fields of computer science and data science, ensuring each piece is meticulously reviewed by a team of seasoned editors to guarantee compliance with the highest standards in educational content creation and publishing.
  • By Abhisek Ganguly
Constructor in Python

Python offers various features that empower developers to create efficient and maintainable code. One such essential feature is the constructor. In this article, we will delve deep into the concept of Python constructors, including what they are, their role in Python classes, the significance of the `__init__` method, the consequences of not using constructors, the distinctions between `__init__` and constructors, and the comparison between constructors and methods.

What is a Constructor in Python?

In object-oriented programming (OOP), a constructor is a special method within a class that is automatically called when an object of that class is created. Its primary purpose is to initialize the attributes or properties of the object, ensuring that the object is in a valid and usable state. In Python, the constructor is defined using a method named __init__.

Python Class Constructor

In Python, a class constructor is implemented using the __init__ method. When a new object is created from a class, the __init__ method is automatically invoked, allowing you to perform any necessary initialization tasks. Let's take a closer look at how constructors work in Python by exploring a simple example:

class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age

person1 = Person("David", 30)


In this example, the Person class has a constructor defined as __init__, which takes two parameters, name and age. When we create an instance of the Person class (i.e., person1), the __init__ method is automatically called with the provided arguments to initialize the object's attributes (name and age).

Is __init__ a Constructor in Python?

Yes, __init__ is a constructor in Python. It is the most commonly used constructor in Python classes, responsible for initializing the object's attributes and ensuring that the object is in a valid state after creation.

What Happens if We Don't Use a Constructor in Python?

If you don't define a constructor in your Python class, Python will provide a default constructor with no parameters. This default constructor won't perform any attribute initialization. Consequently, objects created from such classes will lack proper initialization, potentially leading to unexpected behavior or errors in your program.

For example, consider a class without a custom constructor:

class Car:

car1 = Car()



In the code above, as you can see we are trying to access an attribute that doesn't exist, so the print command will raise an AttributeError.

Difference Between __init__ and Constructor

In Python, __init__ is the constructor. It's necessary to clarify this terminology to avoid confusion. When people refer to "constructors" in Python, they essentially talk about the __init__ method. There is no separate concept of a constructor distinct from __init__ in Python.

Python Constructor vs. Method

To understand the difference between constructors and methods, let's take a look at their characteristics.

  1. Purpose:
    • Constructor: The main purpose of a constructor is to initialize the attributes of an object when it is created. It ensures that the object is in a valid state.
    • Method: Methods are functions defined within a class. They perform actions or operations on objects and can modify object attributes or perform other tasks.
  2. Invocation:
    • Constructor: The constructor, specifically __init__, is automatically invoked when an object of the class is created.
    • Method: Methods are called explicitly by the programmer when they want to perform a particular operation on an object.
  3. Parameters:
    • Constructor: Constructors often take parameters that are used to initialize object attributes. The self parameter is always present in constructors to refer to the object being created.
    • Method: Methods can take parameters as well, but their parameters can vary depending on the specific functionality they provide.
  4. Return Value:
    • Constructor: Constructors typically don't return a value explicitly. Their primary purpose is to initialize the object.
    • Method: Methods can return values, and the return type is not restricted to None. They can return any valid data type.

Here's an example to show the difference between constructors and methods:

class Rectangle:
    def __init__(self, length, width):
        self.length = length
        self.width = width

    def area(self):
        return self.length * self.width

# Creating an object of the Rectangle class
rectangle1 = Rectangle(5, 3)

# Calculating the area using a method
area1 = rectangle1.area()


In this example, __init__ is the constructor responsible for initializing the length and width attributes. The area method calculates and returns the area of the rectangle.


Python constructors, implemented through the __init__ method, play a vital role in object-oriented programming by ensuring that objects are properly initialized when created. Failing to use constructors can result in objects that lack necessary attributes, potentially leading to runtime errors.

Understanding the distinction between __init__ and constructors is crucial for clarity in Python programming. Constructors in Python are synonymous with the __init__ method, and there is no separate concept of a constructor distinct from it.

Furthermore, constructors serve a distinct purpose compared to methods. Constructors are responsible for object initialization, while methods perform various operations on objects. Recognizing these differences helps developers write clear and effective Python code, enhancing the maintainability and readability of their programs.

FavTutor - 24x7 Live Coding Help from Expert Tutors!

About The Author
Abhisek Ganguly
Passionate machine learning enthusiast with a deep love for computer science, dedicated to pushing the boundaries of AI through academic research and sharing knowledge through teaching.