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🚀 Welcome to Part 143 of Code & Debug’s DSA in Python Course! In this session, we tackle the problem Shortest Path in an Directed Graph (with Positive Weights) from GFG, assuming the graph is a Directed Acyclic Graph (DAG). We solve it using Topological Sorting. 🔍 What you’ll learn: ✅ Why Dijkstra is not needed for DAGs ✅ How Topological Sort helps in shortest path ✅ Updating distances based on topo order ✅ What to do with unreachable nodes (set to -1) ✅ Time and space complexity breakdown 📄 GFG Problem Link: https://www.geeksforgeeks.org/problems/shortest-path-in-undirected-graph/1 👉 Refer to the article for better understanding: 🔗 https://codeanddebug.in/blog/shortest-path-in-a-weighted-dag-topological-sort/ 📚 Python DSA Course Playlist & Sheet: https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 🚀 Zero to Hero Python DSA: https://codeanddebug.in/course/zero-to-hero-python-dsa 💡 Free Masterclass with LeetCode-Based Problems: https://codeanddebug.in/course/master-dsa-with-leetcode 💬 Have doubts? Drop them in the comments! 🔔 Don’t forget to subscribe for daily DSA content. #TopologicalSort #ShortestPathDAG #GraphAlgorithms #PythonDSA #CodeAndDebug #Part143 #GFG #UndirectedGraph #DynamicProgramming #ZeroToHeroDSA
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