Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python Course - Merge Sort in Python - Part 22 [Hindi] | Code & Debug

Welcome to Part 22 of Code & Debug’s DSA in Python Course! 🎉 In this video, we’ll explore Merge Sort, a powerful divide-and-conquer sorting algorithm, and implement it step-by-step in Python. Merge Sort is a crucial algorithm for solving advanced sorting problems in Data Structures and Algorithms (DSA). Here’s what you’ll learn: 📌 What is Merge 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/merge-sort/1 👉 Refer the article below for better understanding: https://codeanddebug.in/blog/merge-sort-algorithm-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 1:00 - About Code & Debug Courses 1:41 - What is Merge Sort? 2:10 - Divide and Conquer Approach 3:00 - Dry Run with Example 8:47 - Merging Two Sorted Arrays 12:57 - Code for Merge Function 18:02 - Code for Merge Sort 22:21 - Complete Dry Run 28:50 - Time Complexity - O(N log N) 30:15 - Space Complexity - O(N) 31:03 - Conclusion #DSAPythonCourse #MergeSortPython #PythonDSA #CodeAndDebug #PythonProgramming #LearnDSA #SortingAlgorithms