What is LeetCode 703 Kth Largest Element in a Stream?

It's a design problem: class tracks kth largest as numbers stream in, using min-heap for efficiency.

How to solve LeetCode 703 with Python heapq?

Init empty list as heap, add nums via loop, each add pushes val, pops excess over k, returns heap[0].

Min-heap of size k holds largest k; its min (root) is exactly kth largest. Efficient evictions.

Infinite data floods in—min-heaps keep the kth largest crystal clear. LeetCode 703 isn't trivia; it's your ticket to streaming superpowers.

theAIcatchup Apr 09, 2026 4 min read

Min-heap of size k magically tracks kth largest in O(log k) time per add. 𝕏
Visual tracers like TraceLit turn abstract heaps into intuitive step-by-steps. 𝕏
This powers real-time AI streams—from leaderboards to top-k predictions. 𝕏

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#Data Streams #Min-Heap #Priority Queue #algorithms #data stream #data stream design #kth-largest-stream #leetcode-703

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Originally reported by dev.to