DSA in Python Course – Quick Sort Algorithm in Python – Part 23 [Hindi] | Code & Debug

Welcome to Part 23 of Code & Debug’s DSA in Python Course! 🎉 In this video, we’ll cover Quick Sort, one of the fastest and most efficient sorting algorithms, and implement it step-by-step in Python. Mastering Quick Sort is essential for understanding advanced sorting techniques in Data Structures and Algorithms (DSA).

Here’s what you’ll learn:
📌 What is Quick Sort, and how does it work?
📌 Step-by-step explanation of the divide-and-conquer approach
📌 Python implementation with practical examples

👉 Link to solve this question:
https://www.geeksforgeeks.org/problems/quick-sort/1

👉 Refer the article below for better understanding:

Quick Sort Algorithm in Python | Explained

👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order):
🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing

👉 Enroll in the free DSA Python course here:
https://codeanddebug.in/course/master-dsa-with-leetcode

👉 Enroll for Self-Paced Advance DSA course here:
https://codeanddebug.in/course/zero-to-hero-python-dsa

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Timestamps:
0:00 – Introduction
1:04 – About Code & Debug Courses
1:50 – What is Quick Sort?
2:16 – Pivot Selection Strategies
3:40 – Working with Example
5:51 – In-Place Sorting Explained
9:00 – Partition Function Code
10:30 – i and j Pointer Logic
12:38 – Swapping Pivot with j
19:55 – Quick Sort Recursive Function
22:33 – Left & Right Sub-array Calls
24:44 – Time Complexity – O(N log N)
25:28 – Space Complexity – O(1)
26:00 – Worst Case – O(N²)
29:02 – Conclusion

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