Mastering Python heapq Module | Priority Queues, Heaps & Min-Heap Explained
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YouTubeHarold Thomas
Mastering Python heapq Module | Priority Queues, Heaps & Min-Heap Explained
Description: Learn how to use Python’s built-in heapq module for heaps, priority queues, and efficient data retrieval. This tutorial covers min-heaps, max-heaps, heap operations (heappush, heappop, heapify), and real-world use cases. Perfect for beginners and intermediate Python developers looking to improve algorithm efficiency.
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✨HeapSort is an efficient, O(n log n), sorting algorithm that utilizes the concept of a binary heap. It involves constructing a max-heap or min-heap from an array of elements and continuously extracting the maximum (or minimum) element from the heap to place it at the end of the sorted portion. If you are not sure what Heap, Heapify and Heap operations are, check my account's previous reels on heaps. Follow codechorus for more! SOURCE: world of ivo #java #datastructure #learncoding #learntocode
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