JavaScript Priority Queue Implementation with Heap

Priority Order in JavaScript Day 216 Today Today I learned about the Priority Queue. It is a very important concept in data structures. In a normal queue the rule is first in first out. But in a priority queue the element with the highest priority is processed first. Think of a hospital emergency room. A patient with a serious injury gets treated before someone with a cold even if the person with the cold arrived earlier. This is exactly how a priority queue works. I learned that there are two ways to implement this. You can use an array and sort it every time but that is slow. The best way is using a Heap. Using a Heap makes adding and removing elements very fast because the time complexity is log n. JavaScript does not have a built in priority queue like some other languages. This means we have to build it ourselves using classes. This is a great way to practice logic building and understand how things work under the hood. A very helpful tip for interviews is that if a question asks for the Kth smallest or Kth largest element you should think of using a priority queue or a heap. It makes the solution much more efficient. Today I solved these LeetCode questions: 215 Kth Largest Element in an Array 703 Kth Largest Element in a Stream #DSAinJavaScript #365daysOfCoding #JavaScriptLogic #LeetCode #DataStructures #PriorityQueue #CodingInterview #ProgrammingDaily #SoftwareEngineering #TechLearning #WebDevelopment #LogicBuilding #ProblemSolving #JavaScriptDev #JSCode #ArrayLogic #HeapDataStructure #AlgorithmDesign #CodingChallenge #BinaryHeap

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