Mutibility vs Immutability in Python | Immutability vs Mutibility in Python

Mutability and immutability in Python refer to the ability of objects to be modified or not after they are created.

Mutability: Mutable objects can be modified after creation. This means you can change their internal state, add or remove elements, or update existing elements. Examples of mutable objects in Python include lists, dictionaries, and sets.

Immutability: Immutable objects cannot be modified once created. Any operation that appears to modify an immutable object actually creates a new object with the desired changes. Examples of immutable objects in Python include numbers (integers, floats), strings, tuples, and frozensets.

The distinction between mutable and immutable objects is important because it affects how objects behave in terms of assignment, copying, and passing as function arguments. Immutable objects guarantee their values remain unchanged, while mutable objects can be modified directly.

Understanding mutability and immutability helps in writing code that is more predictable, avoids unintended side effects, and ensures data integrity.
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