DSA · Theory

Application of heap tree

Theory

440/810

Application of heap tree

Application of heap tree is a DSA topic. In plain words you use it for folder on disk in a file explorer. Don’t start with a slogan — start with that picture.

Smallest example: left < root < right. Type it, run it, and say what you see. If you can do that from memory, you know Application of heap tree.

From the example next to this theory: Application of heap tree — heap sort uses a binary heap to repeatedly extract the minimum.

Trap — unbalanced BST becoming a list. Fix that before you talk about advanced DSA.

Viva — what is Application of heap tree? Then show left < root < right. Then name the trap.

Exam tip

What is Application of heap tree? Show this: left < root < right. Trap: unbalanced BST becoming a list.

Example

import heapq

def heap_sort(arr):
    h = arr[:]
    heapq.heapify(h)
    return [heapq.heappop(h) for _ in range(len(h))]

print(heap_sort([5, 1, 4, 2]))

Application of heap tree — heap sort uses a binary heap to repeatedly extract the minimum.

Short notes

DefApplication of heap tree — folder on disk in a file explorer.
Ruleleft < root < right
Trapunbalanced BST becoming a list
Usea file explorer

DSA · Theory

Application of heap tree

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Theory

440/810

Application of heap tree

Application of heap tree is a DSA topic. In plain words you use it for folder on disk in a file explorer. Don’t start with a slogan — start with that picture.

Smallest example: left < root < right. Type it, run it, and say what you see. If you can do that from memory, you know Application of heap tree.

From the example next to this theory: Application of heap tree — heap sort uses a binary heap to repeatedly extract the minimum.

Trap — unbalanced BST becoming a list. Fix that before you talk about advanced DSA.

Viva — what is Application of heap tree? Then show left < root < right. Then name the trap.

Exam tip

What is Application of heap tree? Show this: left < root < right. Trap: unbalanced BST becoming a list.

Example

import heapq

def heap_sort(arr):
    h = arr[:]
    heapq.heapify(h)
    return [heapq.heappop(h) for _ in range(len(h))]

print(heap_sort([5, 1, 4, 2]))

Application of heap tree — heap sort uses a binary heap to repeatedly extract the minimum.

Short notes

DefApplication of heap tree — folder on disk in a file explorer.
Ruleleft < root < right
Trapunbalanced BST becoming a list
Usea file explorer

Application of heap tree

Example

Short notes

Questions

Application of heap tree

Example

Short notes

Questions