Notes
Introduction to Python
Python Installation Using Python Install Manager (Windows)
Running Python Programs (Interactive Mode & Script Mode)
Python Tokens (Keywords, Identifiers, Literals, Operators)
Printing in Python
Variables and Data Types in Python
Type Casting in Python
Data Types in Python
Input Function in Python
Operators in Python
Arithmetic Operators in Python
Comparison Operators in Python
Logical Operators in Python
Membership and Identity Operators in Python
Assignment Operators in Python
Bitwise Operators in Python
Operator Precedence in Python
Conditional Statements in Python
Nested `if-else` in Python
`eval()` Function in Python
`for` Loop in Python
`dir()` Function in Python
`while` Loop in Python
`breakpoint()` Function in Python
`break` and `continue` in Python
`locals()` Function in Python
Tuple in Python
Abstraction in Python
`globals()` Function in Python
Set in Python
`enumerate()` Function in Python
Dictionary in Python
`sorted()` Function in Python
`reversed()` Function in Python
`zip()` Function in Python
`map()` Function in Python
`filter()` Function in Python
`next()` Function in Python
`iter()` Function in Python
`sum()` Function in Python
`min()` Function in Python
`max()` Function in Python
`all()` Function in Python
`any()` Function in Python
`abs()` Function in Python
`round()` Function in Python
`pow()` Function in Python
`divmod()` Function in Python
`bin()` Function in Python
`oct()` Function in Python
`hex()` Function in Python
`chr()` Function in Python
Polymorphism in Python
Inheritance in Python
`ord()` Function in Python
Class Method in Python
Class in Python
Object in Python
Static Method in Python
Characteristics of Object-Oriented Programming (OOP)
Encapsulation in Python
List in Python
String in Python
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Data Types in Python [ English ]

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1. Introduction

In Python, a data type defines the type of value that a variable can store. Since Python is a dynamically typed language, you do not need to declare the data type explicitly—Python automatically determines it.

2. Classification of Data Types

Python data types can be broadly classified into:

  1. Numeric Types
  2. Sequence Types
  3. Set Types
  4. Mapping Type
  5. Boolean Type
  6. None Type

3. Numeric Data Types

Used to store numbers.

3.1 Integer (int)

x = 10

3.2 Float (float)

y = 3.14

3.3 Complex (complex)

z = 2 + 3j

4. Sequence Data Types

Used to store a collection of items in order.

4.1 String (str)

name = "Python"

4.2 List (list)

numbers = [1, 2, 3]

4.3 Tuple (tuple)

data = (1, 2, 3)

5. Set Data Type

Set (set)

values = {1, 2, 3}

6. Mapping Data Type

Dictionary (dict)

student = {"name": "Rahul", "age": 20}

7. Boolean Data Type (bool)

x = True
y = False

8. None Data Type (NoneType)

x = None

9. Checking Data Types

Use the type() function:

x = 10
print(type(x))

Output

<class 'int'>

10. Type Conversion

Example

x = "10"
y = int(x)

print(y)

11. Summary Table

Data Type Description Example
int Integer 10
float Decimal 3.14
complex Complex number 2+3j
str String "Hello"
list Ordered, mutable [1,2,3]
tuple Ordered, immutable (1,2,3)
set Unique elements {1,2,3}
dict Key-value pairs {"a":1}
bool True/False True
NoneType No value None

12. Important Points

13. Conclusion

Data types are the foundation of Python programming. Understanding them helps in:

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