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