What are the memory usage differences between sets and frozensets in Python?

Can you explain the memory usage differences between sets and frozensets in Python?

Sure! In Python, sets are mutable, meaning they can change, while frozensets are immutable. This affects their memory usage.

How does the mutability affect their memory consumption?

Since sets can change, they require additional memory for operations like adding or removing elements. Frozensets, being immutable, have a fixed memory footprint.

Are there any performance implications due to this difference?

Yes, frozensets can be faster for membership tests since they are immutable and can be optimized by Python. Sets may be slower due to their mutability.

When should I use a frozenset instead of a set?

Use frozensets when you need a constant collection of items that won't change, especially as keys in dictionaries or for set operations.