Mutable and Immutable Data Types explained in Python

Veröffentlicht am: 12 Juli 2025
auf dem Kanal: GyanBox IT Training & Services

🔹 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.

👉🏻PYTHON: A rich open source programming language. One of the Google's official languages in development teams. Learn easy to use, code and know libraries of Python.
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