What are the differences between binary search trees and hash tables?
Binary search trees (BSTs) are tree data structures that maintain sorted data for efficient searching, while hash tables use a hash function to map keys to values for fast access.
When should I use a binary search tree instead of a hash table?
Use a BST when you need ordered data and range queries. Hash tables are better for quick lookups without order.
Are there any performance differences between them?
Yes, BSTs have O(log n) average time complexity for search, insert, and delete, while hash tables have O(1) average time complexity, but can degrade to O(n) in worst cases.
Can you give me an example of when a hash table would be more beneficial?
A hash table is beneficial for applications like caching or implementing a dictionary where quick access to data is crucial.
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