In this video, we break down the classic coding challenge "Search in Rotated Sorted Array" (LeetCode 33). We explore how to adapt the standard binary search algorithm to handle a rotated list while maintaining an efficient O(log n) time complexity. We walk through the core logic of identifying the sorted half of the array, trace a dry run step-by-step, and implement solutions in Python, Java, C++, and JavaScript. This breakdown aims to help clarify the boundary conditions and logic transitions common in technical interviews.
🔓 Leetcode Unlocked Website: https://leetcodeunlocked.com/problems...
✍️ My Fav Tool! (Affiliate Links)
Vivo Glass Deskpad [Whiteboard for Desks]: https://amzn.to/3S6Fdi2
🧋 Support the channel!
My Daily To Do (My Productivity App): https://www.mydailytodo.com/
Buy Me A Boba (Donate): http://buymeaboba.com/LeetcodeDaily
Leetcode Daily (Daily LC Problem): / @leetcodedaily-ama
Perfect for coding interview preparation and improving problem-solving skills.
👍 Like, Subscribe, and Comment! Let me know what problems you'd like to see solved.
Solution Link:
https://leetcode.com/problems/search-...
#leetcode #python #algorithms #codinginterview #dailycoding