Implement it on LeetCode. In Python, use heapq (min-heap by default). In Java, use PriorityQueue. In JavaScript, you'll need to implement or import a heap. Here's the counterintuitive part: you use a MIN-heap to track the k LARGEST. The min-heap top is the smallest of the k largest, which is exactly the kth largest.
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$ curl repovive.com/roadmaps/maang-interview-prep/heaps-priority-queues/kth-largest-stream-implementation
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