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mutable & immutable data types in python

In Python, mutable data types are those whose values can be changed, while immutable data types are those whose values cannot be changed after they are created.


Mutable data types include lists, sets, and dictionaries, where their contents can be added, removed, or modified.


Immutable data types include integers, floats, strings, tuples, and frozensets, where their values cannot be modified once they are created.


Here are some examples of mutable and immutable data types in Python:


Mutable Example:


List: my_list = [1, 2, 3], my_list.append(4)


Dictionary: my_dict = {'a': 1, 'b': 2}, my_dict['c'] = 3


Set: my_set = {1, 2, 3}, my_set.add(4)


Immutable Example:


Integer: my_int = 5


Float: my_float = 3.14


String: my_string = "Hello, world!"


Tuple: my_tuple = (1, 2, 3)



PropertyMutable ObjectsImmutable Objects
DefinitionObjects that can be modified after creation Objects that cannot be modified after creation
ExamplesLists, dictionaries, setsNumbers, strings, tuples
Memory Usageconsume more memory memory efficient
Object Can be modified after creation.Cannot be modified after creation.
IdentityThe identity of a mutable object remains same identity is changed
Copyingchanges to a copy can affect the original valueschanges to a copy do not affect the original values


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