🌱 DSA (Beginner) · Essential Data Structures · cozy lesson

Heaps & Top-K 🔒 premium preview

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11 min · 1 min read · no scary math, promise

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import heapq
def topk(a,k):
    h=[]
    for x in a:
        heapq.heappush(h,x)
        if len(h)>k: heapq.heappop(h)
    return h

Merge K lists: push heads, pop min, push next. Median: two heaps.

Correct answers earn XP (once each).

1. Heap top is…

2. Top-K largest?

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