What is the difference between mutable and immutable types in Python?

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ICSM Computer · Answer

Mutable vs Immutable Types in Python
In Python, mutability refers to whether an object can be changed
after it is created. Based on this, Python data types are classified as:
Mutable → Can be modified after creation.Immutable → Cannot be modified after creation.
and 
Mutable Types (Can Change)
These objects allow modifications without changing their identity (memory location).
Examples of Mutable Types
listdict (dictionary)setbytearray
Example of a Mutable List
numbers = [1, 2, 3]
print(id(numbers))  # Memory address before modification
numbers.append(4)   # Modify list
print(numbers)      # [1, 2, 3, 4]
print(id(numbers))  # Memory address remains the same
and 
Immutable Types (Cannot Change)
Once an object is created, it cannot be modified. Any modification creates a
new object in memory.
Examples of Immutable Types
intfloatbooltuplestrfrozensetbytes
Example of an Immutable String
name = "Hello"
print(id(name))  # Memory address before modification
name += " World"  # Attempting to modify
print(name)      # "Hello World"
print(id(name))  # Memory address changes (new object created)
and 
Key Differences Between Mutable and Immutable Types
Feature
Mutable Types (Changeable)
Immutable Types (Unchangeable)
Modification
Can be modified in place
Cannot be modified once created
Memory Usage
Same object remains in memory
New object is created on change
Examples
list, dict, set
int, float, str, tuple
and 
and

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What is the difference between mutable and immutable types in Python?

ICSM Computer

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1 Answers

Mutable vs Immutable Types in Python

Mutable Types (Can Change)

Examples of Mutable Types

Example of a Mutable List

Immutable Types (Cannot Change)

Examples of Immutable Types

Example of an Immutable String

Key Differences Between Mutable and Immutable Types

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Feature	Mutable Types (Changeable)	Immutable Types (Unchangeable)
Modification	Can be modified in place	Cannot be modified once created
Memory Usage	Same object remains in memory	New object is created on change
Examples	`list`, `dict`, `set`	`int`, `float`, `str`, `tuple`