Data Types in Python

Definition

Data types in Python are classifications that specify the type of value a variable holds, determining what operations can be performed on that value. Python has several built-in data types for handling different kinds of data. There are

• Integer
• Float
• String
• List
• Tuple
• Dictionary
• Set
• Boolean

Examples

Integer

    Age = 55

Float

     Price = 195.09

String

   Name = "Kaashiv"

List

  Numbers = [1, 2, 3, 4]


Tuple

  Coordinates = (10.0, 20.0)


Dictionary

  Person = {"name": "wikitechy", "age": 55}

Set

    Unique_numbers = {1, 2, 3, 4}

Boolean

   Is_valid = True


# Printing each variable

print("Integer:", Age)

print("Float:", Price)

print("String:", Name)

print("List:", Numbers)

print("Tuple:", Coordinates)

print("Dictionary:", Person)

print("Set:", Unique_numbers)

print("Boolean:", Is_valid)

Output

Integer: 55

Float: 195.09

String: "Kaashiv"

List: [1, 2, 3, 4]

Tuple: (10.0, 20.0)

Dictionary: {"name": "wikitechy", "age": 55}

Set: {1, 2, 3, 4}

Boolean: True

Features

• Python allows converting between different data types
• Python provides a wide range of built-in data types
• Some data types like lists and dictionaries are mutable

Advantages

• Python’s data types are intuitive
• Python’s dynamic typing allows variables to change types
• Built-in methods associated with data types

Uses

• Integers and floats are used for arithmetic operations
• Strings handle and manipulate textual data in various applications.
• Lists, tuples, sets, and dictionaries are used to organize and manage collections of data