What are the downsides of using immutable data?
While immutable data has benefits like simplicity and thread safety, it can lead to performance issues due to frequent copying.
Can you explain how performance issues arise with immutable data?
Sure! When you modify immutable data, a new copy is created instead of changing the original, which can be resource-intensive.
Are there scenarios where immutable data is preferred despite these downsides?
Yes, in concurrent programming or functional programming, immutability can prevent bugs and make reasoning about code easier.
What alternatives exist to immutable data?
Alternatives include mutable data structures, which allow in-place modifications, but they come with their own set of challenges.
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