Sorting by Building and Destroying a Tree #coding #programming #algorithms #sorting

"Heap Sort runs in two phases and you can watch them both happen.

Phase 1: Build a max-heap. Rearrange the array so every parent is larger than its children. The biggest element rises to the top. This is the purple phase, elements shuffling into their heap positions.

Phase 2: Extract the maximum. Swap the top element to the end (it's in its final sorted position), shrink the heap, and repair it. Repeat until empty. The green sorted region grows from right to left.

The result: O(n log n) guaranteed. Every time. No worst-case like Quicksort's O(n²). No extra memory like Merge Sort's O(n).

Heap Sort is the algorithm compilers use when they can't guarantee good pivot selection in Quicksort, it's the fallback that saves performance in edge cases.

Drop a comment and I'll send you the code.

#coding #programming #algorithms #sorting #computerscience #javascript #heapsort #datastructures #developer #webdev #softwaredevelopment #visualization #codebeauty #heap #tech"

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