In Python, data types are classified as mutable or immutable based on whether their value can be changed after creation.

Mutable types allow modification after their creation. Common mutable types include:

Lists: Elements in a list can be changed, added, or removed.
Dictionaries: Key-value pairs can be updated, added, or deleted.
Sets: Elements can be added or removed.

Example:

mylist = [1, 2, 3]
mylist[0] = 10 # List is modified
Immutable types cannot be changed once they are created. Common immutable types include:

Integers: Numeric values cannot be altered after assignment.
Strings: You cannot modify individual characters within a string.
Tuples: Similar to lists, but their elements cannot be changed after assignment.
Booleans and Floats: Their values remain constant once assigned.

Example:

my_tuple = (1, 2, 3)

Any attempt to change my_tuple[0] would raise an error

Understanding the difference between these types is crucial for optimizing memory usage and performance in Python programs. For a more in-depth understanding, consider enrolling in a Python certification course to enhance your programming skills.