What are the best practices for using mutable and immutable types in Python?

What are the best practices for using mutable and immutable types in Python?

In Python, mutable types like lists and dictionaries can be changed after creation, while immutable types like tuples and strings cannot. Best practices include using immutable types when you want to ensure data integrity and avoid unintended side effects.

Can you give examples of mutable and immutable types?

Sure! Mutable types include lists, dictionaries, and sets. Immutable types include strings, tuples, and frozensets.

When should I use mutable types over immutable types?

Use mutable types when you need to modify the data frequently, like in a dynamic list. Use immutable types when you want to ensure that the data remains constant throughout its lifecycle.

What are the performance implications of using mutable vs immutable types?

Immutable types can be more memory efficient and faster for certain operations since they can be cached. Mutable types may require more memory and can lead to performance overhead if modified frequently.