How do mutable and immutable types affect Python performance?

How do mutable and immutable types affect Python performance?

Mutable types, like lists and dictionaries, can be changed in place, which can be more efficient for certain operations.

Can you give an example of a mutable type?

Sure! A list is a common mutable type. You can add, remove, or change elements without creating a new list.

What about immutable types?

Immutable types, like tuples and strings, cannot be changed after they are created. This can lead to performance benefits in some cases.

When should I use mutable vs immutable types?

Use mutable types when you need to modify data frequently, and immutable types when you want to ensure data integrity and safety.