🌱 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.
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Check your understanding
Correct answers earn XP (once each).
1. Heap top is…
2. Top-K largest?
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