Question

Differentiate between Mutable and Immutable objects in Python.

Hint:

• {Mutable} = Changeable objects (List, Dictionary, Set).
• {Immutable} = Unchangeable objects (Int, String, Tuple).

In short: \[ \text{Mutable → Value can change} \quad | \quad \text{Immutable → Value cannot change} \]

Answer 1

Concept: In Python, objects are classified as mutable or immutable depending on whether their values can be changed after creation. This property determines how data can be modified and managed in a Python program. 1. Mutable Objects: A mutable object is an object whose value or contents can be modified after it is created. Changes can be made without creating a new object. Characteristics:

• The object's value can be changed after creation.
• Memory location remains the same after modification.
• Supports operations like adding, removing, or updating elements.

Examples of Mutable Objects:

• Lists
• Dictionaries
• Sets

Example: \[ \texttt{my_list = [1,2,3]} \] \[ \texttt{my_list.append(4)} \] Here the list changes to \texttt{[1,2,3,4]} without creating a new object. 2. Immutable Objects: An immutable object is an object whose value cannot be changed after it is created. Any modification results in the creation of a new object. Characteristics:

• Value cannot be modified after creation.
• Any change creates a new object in memory.
• Provides safer data handling and prevents accidental changes.

Examples of Immutable Objects:

• Integers
• Strings
• Tuples

Example: \[ \texttt{x = 10} \] \[ \texttt{x = x + 5} \] Here a new object with value \texttt{15} is created. Key Differences Between Mutable and Immutable Objects: \[ \begin{array}{|c|c|c|} \hline Feature & Mutable & Immutable
\hline Modification & Can be modified & Cannot be modified
\hline Memory & Same object remains & New object created
\hline Examples & List, Dictionary, Set & Integer, String, Tuple
\hline \end{array} \]