Data Structures and Algorithms with Python | Free DSA with Python Course - 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: https://codeanddebug.in/blog/quick-sort-in-python/ 👉 📄 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 👉 Don’t forget to subscribe and hit the 🔔 to stay updated with all our lectures. 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 #DSAPythonCourse #QuickSortPython #PythonDSA #CodeAndDebug #PythonProgramming #LearnDSA #SortingAlgorithms