Summary
Full Transcript
📘 Welcome to Part 147 of Code & Debug’s DSA Python Course! In this video, we go beyond just finding shortest distances with Dijkstra’s Algorithm, we learn how to reconstruct and print the actual shortest path from the source node to the destination node. This is a key real-world enhancement of Dijkstra where we maintain parent tracking during edge relaxation and backtrack the path once we reach the destination. 👨🏫 What’s covered in this video: ✅ Building an undirected weighted graph ✅ Using priority queue to implement Dijkstra ✅ Maintaining a parent array to reconstruct paths ✅ Tracing back the actual shortest path ✅ Handling unreachable destination case ✅ Complete Python code walkthrough with dry run ✅ Time and Space complexity breakdown This approach is widely used in GPS systems, route finding algorithms, and real-life applications of graphs. 🔗 Code Reference for Path Reconstruction: https://codeanddebug.in/blog/print-shortest-path-with-dijkstra-algorithm/ 📄 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! #DijkstraPath #ShortestPath #PrintPathDijkstra #GraphsDSA #PythonDSA #CodeAndDebug #Part147 #Pathfinding #DijkstraAlgorithm
