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📘 Welcome to Part 158 of Code & Debug’s DSA Python Course! In this video, we dive into one of the most powerful data structures for graph problems – Disjoint Set Union (DSU), also known as Union-Find. Disjoint Set is widely used in problems related to connected components, cycle detection, and Minimum Spanning Trees (Kruskal’s Algorithm). 👨🏫 Here’s what we cover in this video: ✅ What is a Disjoint Set and where it’s used ✅ find() function with Path Compression for optimization ✅ union() with Union by Size strategy ✅ Full code walkthrough and working demo ✅ Time Complexity explanation – almost O(1) due to inverse Ackermann function ✅ Real-world examples of usage This foundational concept appears in many advanced graph problems, and mastering it is crucial for acing competitive programming and interviews. 📄 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 🚀 For a complete journey from beginner to expert: https://codeanddebug.in/course/zero-to-hero-python-dsa Keep learning and stay consistent with Code & Debug. Like | Share | Subscribe & turn on the 🔔 for updates! #DisjointSet #UnionFind #PathCompression #UnionBySize #PythonDSA #GraphDSA #DSA2025 #CodeAndDebug #Part158 #ConnectedComponents #KruskalAlgorithm #GraphTheory
