Mutable and Immutable Data Types explained in Python
🔹 Mutable and Immutable Types in Python – Explained
In Python, all variables refer to objects in memory. These objects are classified into two categories based on whether they can be changed after creation:
✅ Mutable Types
Definition: Mutable objects can be modified after creation.
Examples: list, dict, set, bytearray
Behavior: You can add, update, or remove elements without changing the object’s identity.
Memory: The memory address remains the same even after changes.
🚫 Immutable Types
Definition: Immutable objects cannot be changed once created.
Examples: int, float, str, tuple, bool, frozenset
Behavior: Any “change” actually creates a new object.
Memory: The memory address changes after reassignment or modification.
🧠 Why It Matters:
Understanding mutability helps avoid unexpected bugs.
It affects how data is passed to functions, stored in collections, and managed in memory.
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