Great explanation of O(log n)! I especially liked the analogy with guessing a number.
Can you expand on how O(log n) compares to other time complexities like O(n) or O(n^2) in terms of efficiency, and which is best for which types of problems? I think this can help a lot of beginner developers compare all options and gain a bit more insight.

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