Which of the following best describes mutable objects in Python?

Mutable objects in Python are those that can be changed after they are created. This means that you can modify their content without having to create a new object. For example, lists and dictionaries are mutable types, allowing you to add, remove, or change elements within them. When you change a mutable object, the original object is altered, which is a key characteristic of mutability.

In contrast, immutable objects, such as strings and tuples, cannot be altered once they are created. If you attempt to change an immutable object, Python will create a new object instead.

The other options present misconceptions about the nature of mutable objects. Some incorrectly imply that mutability is related to fixed data sizes or the ability to modify data, which doesn’t accurately define mutable objects in Python. Understanding that mutability allows for modifications post-creation is fundamental to working effectively with Python data structures.