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)

• Whole numbers (positive or negative)

x = 10

3.2 Float (float)

• Decimal numbers

y = 3.14

3.3 Complex (complex)

• Numbers with real and imaginary parts

z = 2 + 3j

4. Sequence Data Types

Used to store a collection of items in order.

4.1 String (str)

• Sequence of characters

name = "Python"

4.2 List (list)

• Ordered and mutable collection

numbers = [1, 2, 3]

4.3 Tuple (tuple)

• Ordered but immutable collection

data = (1, 2, 3)

5. Set Data Type

Set (set)

• Unordered collection of unique elements

values = {1, 2, 3}

6. Mapping Data Type

Dictionary (dict)

• Collection of key-value pairs

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

7. Boolean Data Type (bool)

• Represents logical values

x = Truey = False

8. None Data Type (NoneType)

• Represents absence of value

x = None

9. Checking Data Types

Use the type() function:

x = 10print(type(x))

Output

<class 'int'>

10. Type Conversion

Example

x = "10"y = int(x) print(y)

11. Summary Table

12. Important Points

• Python automatically detects data types
• Variables can change type dynamically
• Use type() to check data type
• Each data type has specific properties and uses

13. Conclusion

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

• Storing and manipulating data
• Writing efficient programs
• Avoiding type-related errors