What is the best data structure for searching data efficiently?
The best data structure for searching depends on the use case, but commonly used ones include hash tables, binary search trees, and tries.
Can you explain how a hash table works for searching?
Sure! A hash table uses a hash function to map keys to values, allowing for average-case constant time complexity for search operations.
What about binary search trees? How do they compare?
Binary search trees allow for efficient searching, insertion, and deletion, with average-case time complexity of O(log n), but can degrade to O(n) if unbalanced.
Are there any specific scenarios where one is better than the other?
Yes, hash tables are great for quick lookups, while binary search trees are better for ordered data and range queries.
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