Python Constructors Tutorial – Complete Guide

In this tutorial, we will dive deep into the realm of Python constructors. Throughout our journey, we will uncover the definition, functionality, and importance of these fundamental programming elements. With clear-cut explanations and illustrative examples, we aim to make this complex concept simple and engaging.

What are Python Constructors?

In essence, a Python constructor is a special kind of method. It is essentially the blueprint or foundation of class creation in Python. Primarily, its function is to initiate the variables of a class and give life to objects within it.

Why are Python Constructors Important?

Python constructors hold immense significance in the realm of object-oriented programming. Here are a few reasons why learning them is beneficial:

  • Python constructors manage to automate the method of initializing variables, saving a lot of time and effort for programmers.
  • Their code is automatically executed when an object of a class is made, providing a seamless programming flow.
  • They help produce more efficient, readable, and maintainable code.

In sum, mastering Python constructors is an essential step in becoming a proficient Python programmer. Their versatility and applicability make them a compelling concept to learn and understand. Indeed, a journey into Python constructors promises not only to enrich your coding vocabulary but also to improve your overall problem-solving prowess in Python. Let’s now delve into the coding tutorial to uncover the magic of Python constructors.

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Basic Python Constructor Example

Let’s start with a simple Python class of a Robot. This class consists of two variables – name and color.

class Robot:
    def __init__(self, name, color): = name
        self.color = color

Here, __init__ is the Python constructor. The parameters following __init__ (name and color) initialize the variables in the class.

Now, let’s create an instance of the Robot class:

robo = Robot("R2D2", "white")

This will print:


More Advanced Python Constructor Examples

Now that we understand the basic functionality of Python constructors, let’s delve deeper with some more complex examples.

Example 1: Creating multiple instances of a class.

class Car:
    def __init__(self, make, model, year):
        self.make = make
        self.model = model
        self.year = year
car1 = Car("Toyota", "Corolla", 2005)
car2 = Car("Honda", "Civic", 2010)
print(car1.make, car1.model, car1.year)
print(car2.make, car2.model, car2.year)

This will print:

Toyota Corolla 2005
Honda Civic 2010

Here, we’ve defined a Car class with make, model, and year as its variables. Then, using the Python constructor, we’ve instantiated two unique objects of this class – car1 and car2. The print statements yield different results illustrating that each object holds a unique set of variable values.

Example 2: Defining additional methods in the class.

class Animal:
    def __init__(self, name, type): = name
        self.type = type

    def introduction(self):
        return "The " + self.type + " is named " +

rabbit = Animal('Bob', 'rabbit')


This will print:

The rabbit is named Bob

The Animal class adds a new method introduction() that uses the variables from the constructor to provide a complete sentence regarding an animal.

In conclusion, understanding the workings of Python constructors greatly enhances your versatility in Python programming and object-oriented design. Through practice and patience, the complexities of Python constructors can unfold into a valuable skill in your coding arsenal.

Python Constructors in Depth

Let’s continue to enrich our understanding of Python constructors by stepping into more advanced terrain with some compelling examples.

Example 3: Using Python constructor to define a class with mutable default arguments.

class Programmer:
    def __init__(self, name, languages=[]): = name
        self.languages = languages

    def add_language(self, language):

bob = Programmer('Bob')
alice = Programmer('Alice')


print(f'Bob knows {bob.languages}')
print(f'Alice knows {alice.languages}')

This will print:

Bob knows ['Python']
Alice knows ['Python']

This example introduces mutable default arguments, giving our programmers a way to learn and add languages.

Example 4: Leveraging Python constructors for inheritance.

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

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

john = Employee('John', 30, '123')
print(, john.age, john.employee_id)

This will print:

John 30 123

Here, the Employee class inherits from the Person class, thus getting its name and age attributes. The Employee class also adds a new attribute, the employee_id.

Example 5: Using multiple Python constructors in a class.

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

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

    def __init__(self, side):
        self.length = self.breadth = side

square = Rectangle(5)

This will print:


In this example, we have provided two Python constructors in the class, one for a rectangle (using two sides) and another for a square (using one side).

Example 6: Python constructor in a class having a private field.

class Student:
    def __init__(self, ID, grades):
        self.ID = ID
        self.__grades = grades

john = Student(123, [50,60,80,90])
print(john._Student__grades)  # Accessing private field

This will print:


In this scenario, Student has a private field __grades. It can be accessed, but it’s not directly visible and can’t be directly manipulated, which helps in maintaining encapsulation in our Python classes.

Through these examples, we hope you have gained a deeper understanding of Python constructors and their functionality. Remember that practice is the key to becoming proficient. Happy coding!

Where to Go Next?

We commend you for embarking on this learning journey, delving into Python constructors, and understanding their roles in object-oriented programming. However, there’s always more to learn when it comes to Python!

A great next step would be to explore structured course curriculums, such as our Python Mini-Degree. This comprehensive program runs the gamut of Python programming, helping you build proficiency from the ground up. Despite the similarities between the tutorial’s content and the Python Mini-Degree course product, they vary in the breadth and depth of knowledge imparted.

Our Python Mini-Degree offers a cornucopia of learning materials, including practical coding basics, advanced algorithm creation, object-oriented programming, game development, and app development. We believe in a hands-on approach to learning, and our courses reflect this pedagogy. On completion, students will have a diverse portfolio of Python projects showcasing their newly acquired abilities.

Moreover, if you’re searching for something more specific or looking to broaden your understanding, our Python Courses are a trove of curated, detailed, and interactive coding courses led by seasoned instructors.


Congratulations on completing this robust exploration into Python constructors. We hope this tutorial has provided you with the pivotal knowledge, understanding, and enthusiasm to continue mastering this versatile programming language. Python’s far-reaching applications in data science, game development, AI, and more beckon the modern coder to comprehend its fundamentals and nuances fully.

Never stop learning, practicing and challenging yourself – every new concept mastered is another step on your programming journey. To further your Python mastery, we invite you to explore our Python Mini-Degree. This comprehensive program is geared to develop your coding skills from beginner to advanced levels, making you well-versed in the Python language with a portfolio to prove it. Together, let’s turn your programming dreams into reality with Zenva!

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