What are the challenges of working with immutable data?
Working with immutable data can lead to challenges such as increased memory usage, performance overhead, and complexity in state management.
Can you explain how performance is affected?
Performance can be affected because every change creates a new copy of the data, which can be costly in terms of time and memory.
Are there any strategies to mitigate these challenges?
Yes, strategies include using structural sharing, lazy evaluation, and optimizing data structures to reduce overhead.
What are some common use cases for immutable data?
Common use cases include functional programming, state management in UI frameworks, and ensuring data integrity in concurrent systems.
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