Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - What is Minimum Spanning Tree (MST)? | Theory Only | GFG MST | Part 156 [Hindi]

📘 Welcome to Part 156 of Code & Debug’s DSA Python Course! In this session, we take a conceptual deep dive into Minimum Spanning Trees (MST) — one of the most fundamental ideas in Graph Theory. We don’t solve the GFG problem in this video — instead, we focus on building a strong theoretical understanding of what MST is and why it’s useful in the real world and in coding interviews. 👨‍🏫 What’s covered in this video: ✅ What is a Spanning Tree? ✅ What makes it "Minimum"? ✅ Real-world use cases like network design, road planning, etc. ✅ MST vs Shortest Path ✅ Introduction to Kruskal’s and Prim’s Algorithms (no code) ✅ How MST is different from DFS Tree This video sets the foundation for upcoming videos where we’ll implement MST using different algorithms. Make sure not to skip this if you want to truly understand MST logic before jumping into code. 📄 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 🚀 Complete Your Journey with the Full DSA Track: https://codeanddebug.in/course/zero-to-hero-python-dsa Stay with Code & Debug — Learn once, remember forever. Like | Share | Subscribe & tap the 🔔 for upcoming MST code implementations! #MinimumSpanningTree #GraphTheory #PythonDSA #CodeAndDebug #MSTConcept #Part156 #KruskalPrim #SpanningTreeExplained #GFGMST