What are the performance benefits of using immutable objects in Python?

What are the performance benefits of using immutable objects in Python?

Immutable objects in Python, like tuples and frozensets, can lead to performance improvements due to their hashability and reduced memory overhead.

Can you explain how immutability affects memory usage?

Sure! Immutable objects can be shared across different parts of a program, reducing memory usage since they don't require multiple copies.

Are there any downsides to using immutable objects?

Yes, the main downside is that you cannot modify them after creation, which can lead to more complex code if frequent changes are needed.

How do immutable objects compare to mutable ones in terms of performance?

Immutable objects can be faster for certain operations, especially in multi-threaded environments, as they avoid issues with data consistency.

Can you give an example of when to use immutable objects?

Using immutable objects is ideal for keys in dictionaries or when you need to ensure that data remains constant throughout your program.