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📘 Welcome to Part 140 of Code & Debug’s DSA Python Course 2025! In this video, we cover Leetcode 802 - Find Eventual Safe States, a powerful application of DFS and Cycle Detection in graphs. This problem asks us to identify nodes in a directed graph from which no cycle can ever be reached, i.e., the eventual safe nodes. 👨🏫 What’s covered in this video: ✅ Understanding what makes a node "eventually safe" ✅ How DFS helps in cycle detection ✅ Marking safe vs unsafe nodes ✅ Tracking visited and path_visited arrays ✅ Step-by-step Python code walkthrough ✅ Time & Space Complexity Analysis This is a must-know concept for mastering Graph DFS, and it appears in many interview scenarios and coding contests. 🔗 Leetcode 802 - Find Eventual Safe States: https://leetcode.com/problems/find-eventual-safe-states/description/ 👉 Refer to the article for better understanding: 🔗 https://codeanddebug.in/blog/find-eventual-safe-states-dfs/ 📄 Full Playlist Sheet (All Questions in Order): https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 🎓 Enroll in the FREE Python DSA Course: https://codeanddebug.in/course/master-dsa-with-leetcode 🚀 Master the Full DSA Track (Zero to Hero): https://codeanddebug.in/course/zero-to-hero-python-dsa 🔥 Stay consistent and keep grinding with Code & Debug. Like | Share | Subscribe & don’t forget to hit the 🔔 bell icon! #EventualSafeStates #Leetcode802 #GraphDFS #CycleDetection #PythonDSA #DSA2025 #GraphProblems #CodeAndDebug #Part140 #SafeNodes #TerminalNodes
