Python provides several built-in data types to store different kinds of data.

Each data type has its own purpose and characteristics.

Some data types are immutable, while others are mutable.

Data Type	Description	Mutable / Immutable
int	Stores whole numbers.	Immutable
float	Stores decimal numbers.	Immutable
complex	Stores complex numbers.	Immutable
bool	Stores True or False.	Immutable
str	Stores text (sequence of characters).	Immutable
bytes	Stores byte values (0 to 255).	Immutable
bytearray	Stores byte values (0 to 255).	Mutable
range	Represents a sequence of numbers.	Immutable
list	Stores an ordered collection of objects.	Mutable
tuple	Stores an ordered collection of objects.	Immutable
set	Stores an unordered collection of unique values.	Mutable
frozenset	Immutable version of a set.	Immutable
dict	Stores data as key-value pairs.	Mutable
None	Represents no value or nothing.	Immutable

The following examples show how each data type is created in Python.

Immutable Data Types	Mutable Data Types
int	bytearray
float	list
complex	set
bool	dict
str	-
bytes	-
range	-
tuple	-
frozenset	-
None	-

• Python provides several built-in data types for different kinds of data.
• Choose the correct data type based on your requirement.
• Immutable objects cannot be modified after creation.
• Mutable objects can be modified after creation.
• Understanding data types is the foundation of Python programming.

Data Type	Purpose	Mutable?
int	Whole numbers	No
float	Decimal numbers	No
complex	Complex numbers	No
bool	True / False	No
str	Text	No
bytes	Byte values	No
bytearray	Mutable byte values	Yes
range	Number sequence	No
list	Ordered collection	Yes
tuple	Read-only collection	No
set	Unique values	Yes
frozenset	Read-only set	No
dict	Key-value pairs	Yes
None	No value	No