What are the performance implications of using immutable data?
Using immutable data can lead to performance benefits like easier caching and thread safety, but it may also increase memory usage.
Can you explain how it affects memory usage?
Immutable data structures can lead to higher memory consumption because each modification creates a new copy instead of altering the existing one.
Are there scenarios where mutable data is preferred?
Yes, mutable data is often preferred in scenarios requiring frequent updates or modifications, as it can be more memory efficient.
What are some examples of immutable data structures?
Examples include strings in Java, tuples in Python, and persistent data structures like those found in functional programming languages.
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