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Unlock the power of Binary Search on Answer! 🍌🦍 In this video, we dive deep into LeetCode 875: Koko Eating Bananas, a classic coding interview problem that tests your ability to optimize search spaces. Whether you're preparing for FAANG interviews or just sharpening your competitive programming skills, understanding this pattern is a game-changer. What you’ll learn in this video: ✅ The Problem Breakdown: Why a simple linear search isn't enough. ✅ The "Monotonic" Secret: How to identify when a problem can be solved by binary searching for a value. ✅ Efficient Logic: Calculating the ceiling of piles/speed without using complex libraries. ✅ Complexity Analysis: Why $O(N \log M)$ is the gold standard for this challenge Timestamps: 00:00:00 - Problem Introduction & Rules 00:02:53 - Manual Example Walkthrough (3, 6, 7, 11) 00:05:41 - Why Linear Search is Too Slow 00:08:24 - Understanding Problem Constraints 00:09:57 - Theoretical Time Complexity Analysis 00:13:23 - Binary Search Logic & Search Space 00:16:52 - Step-by-Step Code Implementation 00:24:59 - Debugging: Adjusting Range Pointers 00:25:56 - Final Time & Space Complexity Don’t forget to: 👍 Like if this explanation helped you! 🔔 Subscribe for more LeetCode patterns and algorithm deep-dives. 💬 Comment below if you have a different way of solving this or need help with a specific part! #LeetCode #CodingInterview #BinarySearch #Python #SoftwareEngineer #DataStructures #Algorithms #KokoEatingBananas