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/problem...
👉 Refer the article below for better understanding:
https://codeanddebug.in/blog/quick-so...
👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order):
🔗 https://docs.google.com/spreadsheets/...
👉 Enroll in the free DSA Python course here:
https://codeanddebug.in/course/master...
👉 Enroll for Self-Paced Advance DSA course here:
https://codeanddebug.in/course/zero-t...
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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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