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__init__() method in Python Class

  • December 13, 2022
  • CODE OF GEEKS
  • 0


NEXT TUTORIAL >> Nested Class in Python

The __init__() method in Python is a default method that is mainly used to initialize the instance variables of a class. For the same reason, it is also referred to as Constructor.

The first parameter of the __init__() method is the self variable containing the memory address of the instance.

Here is the complete tutorial that we have designed for self statement : http://codeofgeeks.com/the-self-variable-in-python-class/

Sample __init__() method is defined as :

def __init__(self):
  self.name = 'Ram'
  self.role = 'God'

In the above code, the constructor __init()__ has only one parameter i.e self. With the help of self.name and self.role, we can access the instance variables of the class.

The __init__() method is called automatically at the time of instance creation. Like,

a = Animal() # Here Animal is our class


Observe the empty parentheses while instantiating a class, this means that we are not passing any values to the constructor at the time of class instantiation.

Let’s try to add some parameters to it now,

a = Animal('meows', 'barks') # Here Animal is our class

The __init__() method to accept the values,

def __init__(self, cat = 'speaks hindi', dog = 'speaks english'):
  self.cat = cat
  self.dog = dog

In this case, we are passing two actual arguments, ‘meows’ and ‘barks’ to the Animal class.

Let’s see the whole code to understand the flow,

class Animal:
  def __init__(self, cat = 'speaks hindi', dog = 'speaks english'):
    self.cat = cat
    self.dog = dog 
  
  def display(self):
    print(self.cat)
    print(self.dog)

a1 = Animal('meows', 'barks') # calling with parameters
a1.display()
a2 = Animal() # calling without parameters
a2.display()


Please note that, even if you don’t write __init__() method inside your class, then too, default constructor will be executed.

class Animal:
  def display(self):
    print('No init here @@')
    
a2 = Animal() # calling without parameters
a2.display()

O/P

No init here @@

Why __init__() method has two trailing and leading underscores ?

Python calls it a special method. This is just a convention, a way for the Python system to use names that won’t conflict with user-defined names. Other examples are __file__, __import__.

That’s all here. Hope, you now know the significance of __init__() method.

NEXT TUTORIAL >> Nested Class in Python





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Table of Content – Python

  1. Introduction to Python ▼
    • Python and its features
    • Key Differences : C vs Python
    • Key Differences : Java vs Python
    • Python Flavors
    • PVM and Memory Management in Python

  2. Python Fundamentals ▼
    • 'Hello World' using Python
    • Comments in Python
    • Variables and Garbage Collection in Python
    • Datatypes in Python
    • Determining the Datatype of Literal | type() method
    • Tokens in Python
    • Keywords in Python
    • Identifiers and Naming Convention in Python
    • Literals in Python

  3. Python Operators ▼
    • Operators in Python
    • Python Mathematical Functions

  4. Python User Inputs ▼
    • Taking Inputs | input() function in Python

  5. Python Control Statements ▼
    • Control Statements in Python
    • if-elif-else Statements in Python
    • Looping in Python
    • while loop in Python
    • while-else loop in Python
    • for loop in Python
    • for-else loop in Python
    • Infinite loops in Python
    • Nested loops in Python
    • break Statement in Python
    • continue Statement in Python
    • pass Statement in Python
    • assert Statement in Python
    • return Statement in Python

  6. Python Functions ▼
    • Introduction to Python Functions
    • Python Functions vs Python Methods
    • Local and Global Variables in Python
    • Formal and Actual Arguments in Python
    • Recursion in Python Functions
    • Lambda Functions in Python
    • Function Decorators in Python
    • Function Generators in Python

  7. Python Strings ▼
    • Strings in Python and Basic Operations
    • String Immutability Explained
    • strip() method in Strings
    • find() method in Strings
    • count() method in Strings
    • replace() method in Strings
    • split() method in Strings
    • Switching Cases in Strings
    • startswith() method in Strings
    • endswith() method in Strings

  8. Python Lists ▼
    • Python Lists Basics
    • index() method in list
    • append() method in list
    • insert() method in list
    • copy() method in list
    • remove() method in list
    • pop() method in list
    • sort() method in list
    • reverse() method in list
    • clear() method in list
    • Nested Lists in Python
    • List Comprehensions in Python

  9. Python Sets ▼
    • Python Sets and Basic Operations
    • Adding Elements in Python Sets
    • Removing Elements in Python Sets
    • Union in Python Sets
    • Intersection in Python Sets

  10. Python Tuples ▼
    • Python Tuple Basics
    • Python Tuples Immutability Explained
    • Python Tuples Methods
    • Python Nested Tuples

  11. Python Dictionary ▼
    • Python Dictionary Basics
    • Python Dictionary Sorting
    • Python Dictionary List to Dictionary Conversion
    • Passing Dictionary to Function

  12. Python Classes and Objects ▼
    • Classes and Objects
    • self variable in Python
    • __init__() method in Python
    • Inner Classes
    • Instance variable and methods
    • Class variable and methods

  13. Python OOPs ▼
    • Inheritance and its types
    • super() method in Python
    • Abstract class| Abstract method in Python

  14. Python Exception Handling ▼
    • Errors in Python and its types
    • Exception Handling in Python
    • Types of Exceptions in Python
    • Custom Exceptions in Python

  15. Python File Handling ▼
    • File Handling in Python
    • with statement in Python

  16. Python DateTime Modules ▼
    • datetime module in Python

  17. Python MultiThreading ▼
    • Multithreading in Python

  18. Python Requests Module ▼
    • Python GET Request
    • Python POST Request
    • Python PUT Request

Python Programs

  1. Fibonacci Series till 'N' Numbers

  2. Sum of Digits of a Number

  3. Checking Prime Number

  4. Checking Armstrong Number

  5. Finding Reverse Number (Traditional)

  6. Finding Reverse Number (Pythonic)

  7. Finding Prime Numbers within Range

  8. Finding Prime Numbers within Range Using SOE

  9. Checking Leap year

  10. Calculating Simple Interest

  11. Generate Random Numbers

  12. Calculate Compound Interest

  13. Area of Circle

  14. ASCII Value of Character
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