DSA Python – Eventual Safe States | Detect Terminal Nodes | LC 802 Explained – Part 140 [Hindi]
1.5K views on YouTube
📘 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