DSA in Python Course – Heap Sort Algorithm | Sorting using Max Heap | Part 187 [Hindi]

📘 Welcome to Part 187 of Code & Debug’s DSA in Python Course!

Building on your expertise with heap implementations and transformations, we now explore Heap Sort, one of the most efficient comparison-based sorting algorithms. We’ll implement heap sort from scratch using max heap, with complete code walkthrough, time complexity analysis, and practical examples to help you master this O(n log n) sorting technique.

This session perfectly combines your knowledge of heapify operations with sorting algorithms, making it essential for coding interviews and competitive programming!

👨‍🏫 What’s covered in this video:
✅ Understanding Heap Sort algorithm step-by-step
✅ Building max heap from unsorted array
✅ Extracting elements to achieve sorted order
✅ Complete Python implementation with heapify function
✅ Time Complexity: O(n log n) and Space Complexity: O(1) analysis
✅ Practical example with random array sorting
✅ Why heap sort is preferred over other O(n log n) algorithms
✅ Interview tips and edge cases

By the end of this session, you’ll master heap sort and understand how to apply heap-based algorithms in sorting problems!

📄 Full Playlist Sheet (All Questions in Order):
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