The easiest way to learn about Heaps and Priority Queue
https://algo.monster/problems/k_close... 👈 Interactive visualizer Heaps come in handy for problems where we need to constantly find the smallest or largest k elements out of a changing set of numbers. In this video, we build up the heap from scratch, using a single running example: a hospital ER that needs to instantly know its most urgent patients at any moment. A lot of people get confused about Heaps and Priority Queues. The purpose of this video is to make you clearly understand the intuition behind it. If you've ever seen "heap" or "priority queue" in a problem's tags and skipped it — this is the video that fixes that, for good. #DataStructures #Heap #PriorityQueue #CodingInterview #DSA #Algorithms
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