Python
Warning
This post is more than a year old. Information may be outdated.
Tip
Special thanks to Ishu Agrawal
Heap
Heaps are complete binary trees where the value of each node must be no greater than (or less than) the value of its child nodes.
- Python only supports Min Heaps
import heapqheapq.heapify(arr)heapq.heappop(arr)heapq.heappush(arr, x)heapq.nsmallest(k, arr, key=func)returns a list with theksmallest elements in the iterablearrbased on a comparator functionfunc
Backlinks15
blank=True vs null=True in DjangoMigrating Project Aldehyde to FlightControl (February 24誠鉉)Daniele Romanini et al. PyVerticalScalaGrammarly Work Note 2023-06-07Render.comHeap (Computer Systems)Person 1E6ABAMathematics under The Library of BabelHigher-Level Languages and Their SpeedsReal ExamsGet Job Done1046 Last Stone Weight0001 Two SumCoding TestsComments