Python Data Types Introduction

📊 Summary Table

Data Type	Purpose / Use Case	Real-time Example
int	Counting, quantity, index	Marks, product quantity
float	Precision values	Price, temperature
str	Textual data	Name, city, ID
bool	True/False checks	Authentication, status
list	Multiple values (ordered)	Cart items, to-do list
tuple	Fixed pair of values	GPS coordinates, RGB values
set	Unique items	Unique visitors, tags
dict	Structured records	User profile, order info
None	Undefined / empty values	Profile picture, missing config

🔁 Python Mutable vs Immutable Data Types

Data Type	Mutable / Immutable	Description / Behavior	Example
int	Immutable	Value cannot be changed once assigned	x = 5
float	Immutable	Decimal values, reassignment creates new object	price = 99.99
bool	Immutable	Either True or False, reassignment creates new object	flag = True
str	Immutable	Strings cannot be changed in place	name = "Sairam"
tuple	Immutable	Cannot change elements once defined	coordinates = (1, 2)
frozenset	Immutable	Immutable version of a set	fs = frozenset([1, 2, 3])
bytes	Immutable	Immutable sequence of bytes	b = b"hello"
list	Mutable	Can add, remove, or change elements	fruits = ["apple", "banana"]
set	Mutable	Unordered collection of unique items	tags = {"python", "aws"}
dict	Mutable	Key-value pairs can be updated or removed	user = {"name": "John"}
bytearray	Mutable	Mutable version of bytes for binary data	ba = bytearray([65, 66])