Mutable and Immutable Data Types

In Python, data types can be classified into two categories: mutable and immutable. Mutable data types are those that can be modified or changed after they are created, while immutable data types cannot be modified once they are created.

Explanation of Mutable Data Types

Mutable data types in Python allow for modifications to be made to their values. This means that you can change individual elements or attributes of a mutable object without creating a new object.

Explanation of Immutable Data Types

On the other hand, immutable data types in Python do not allow for modifications to be made to their values. Once an immutable object is created, it cannot be changed. If you want to modify an immutable object, you have to create a new object with the desired changes.

Examples of Mutable Data Types in Python

Out of the given options, the correct answer is option 'D' - list.

Explanation of List as a Mutable Data Type

A list is a collection of items that can be of different data types. It is one of the most commonly used mutable data types in Python.

Modifying Lists
- Elements: You can add, remove, or change elements in a list. For example, you can append or insert elements, remove elements using the 'del' keyword or the 'remove()' method, and modify elements by assigning new values to specific indices.
- Length: The length of a list can also be changed by adding or removing elements.
- Order: The order of elements in a list can be modified by sorting or reversing the list.

Other Examples
- Integers (option 'a') and floats (option 'b') are examples of immutable data types in Python. Once an integer or float is assigned a value, it cannot be changed.
- Strings (option 'c') are also immutable in Python. You cannot change individual characters in a string; instead, you have to create a new string with the desired modifications.

Therefore, the correct answer is option 'D' - list, as it is an example of a mutable data type in Python.