Algorithms & Data Structures
Intermediate
Pro
Heaps
Keep the most important element one pop away with binary heaps and priority queues
30 min read
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Learn the binary heap / priority queue abstraction and the problem shapes it unlocks: top-k selection, merging sorted sequences, and running statistics over a stream. Covers Python's `heapq` module and four classic interview problems, from k-most-frequent strings to a live running median.