What are persistent data structures and how do they work?
An example of an AI chatbot conversation about persistent data structures and their functionality.
What are persistent data structures and how do they work?
Persistent data structures are data structures that always preserve the previous version of themselves when modified. This means that you can access both the old and new versions of the data.
Can you give me an example of a persistent data structure?
Sure! A common example is a persistent linked list. When you add an element to the list, instead of modifying the original list, a new list is created that shares the unchanged parts of the original.
What are the advantages of using persistent data structures?
They allow for easier version control, enable functional programming techniques, and can improve performance in certain scenarios by avoiding deep copies.
Are there any downsides to using them?
Yes, they can consume more memory and may have slower performance for certain operations compared to their mutable counterparts.
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