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In this video, we tackle LeetCode 215: Kth Largest Element in an Array. While using a standard sort is the easy way out, top tech interviews demand efficiency. We explore how to solve this problem using a Min-Heap (Priority Queue) for O(N log k) time and the Quick Select algorithm (Hoare's selection algorithm) to achieve an average O(N) time complexity. This tutorial covers the logic behind "sorted order" vs "distinct elements," handles edge cases, and provides full code solutions in Python, Java, C++, and JavaScript. Perfect for mastering heap data structures and partitioning logic. 🧋 Support the channel! My Daily To Do: https://www.mydailytodo.com/ Buy Me A Boba: https://www.buymeaboba.com Leetcode Daily: / @leetcodedaily-ama ✍️ My Planning Tools (Affiliate Links) I use a tablet to sketch out data structures and logic before coding. Using these links helps support the channel at no extra cost to you! Latest S-Pen Tablet: https://amzn.to/4nsgXRw Great Budget Tablet: https://amzn.to/4ow4v3Y 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/kth-lar... #leetcode #python #algorithms #codinginterview #dailycoding