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🚀 Welcome to Part 121 of Code & Debug’s DSA Python Course 2025! In this lecture, we solve the Depth First Search (DFS) Traversal problem from GeeksforGeeks, where we explore as deep as possible before backtracking — a fundamental concept in recursive graph traversal. 📚 What you’ll learn in this video: ✅ What is Depth First Search and how it works in graphs ✅ DFS using recursion and visited list to avoid infinite loops ✅ Difference between DFS and BFS with real-life analogies ✅ Python implementation using adjacency list ✅ Time and space complexity breakdown 💡 Why is this important? DFS is a cornerstone of graph theory and is used in problems like connected components, cycle detection, topological sort, maze solving, and more. Mastering DFS is essential for every coding interview and CP enthusiast. 👉 Practice the problem on GeeksforGeeks: 🔗 https://www.geeksforgeeks.org/problems/depth-first-traversal-for-a-graph/1 👉 Refer to the article for better understanding: 📌 https://codeanddebug.in/blog/depth-first-search-in-graph/ 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in this FREE DSA Python course here: 🔗 https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Enroll for Self-Paced Advanced DSA course here: 🔗 https://codeanddebug.in/course/zero-to-hero-python-dsa 🙏 Thank you for supporting Code & Debug! Don’t forget to like, share, and subscribe to our channel. Hit the 🔔 bell icon to stay updated with our latest lectures. #DFS #DepthFirstSearch #GraphTraversal #GeeksforGeeks #GraphAlgorithms #PythonDSA #DSAPythonCourse #CodeAndDebug #DSA2025 #RecursiveDFS #Part121 #CodingInterviews
