In Python, which datatype is an example of an immutable object?

In Python, an immutable object is one that cannot be changed after it is created. Strings are a quintessential example of an immutable datatype. When you create a string, the contents of that string cannot be modified. For instance, if you try to change a character in the string or append another character to it, you will not alter the original string; instead, a new string will be created.

This immutability is significant for several reasons, including data integrity and the ability to use strings as keys in dictionaries, which requires that the data type be hashable. The immutability of strings also promotes efficiency in certain operations, as their state cannot be altered after creation.

On the other hand, data types like lists, dictionaries, and sets are mutable, meaning their contents can be changed at any point after they are created. Lists can have items added or removed, dictionaries can have key-value pairs modified or deleted, and sets can have elements added or removed. This contrasts with strings, highlighting the unique nature of immutable objects in Python.