DSA in Python - Number of Provinces Using Disjoint Set (Union-Find) | GFG Graph | Part 160 [Hindi] скачать в хорошем качестве

DSA in Python - Number of Provinces Using Disjoint Set (Union-Find) | GFG Graph | Part 160 [Hindi]

📘 Welcome to Part 160 of Code & Debug’s DSA Python Course! In this video, we solve the classic Number of Provinces problem using the powerful Disjoint Set (Union-Find) data structure. This problem focuses on finding the number of connected components (provinces) in an undirected graph, where connections are given in the form of an adjacency matrix. The Union-Find approach efficiently helps us group connected cities and identify distinct provinces. 👨‍🏫 What’s covered in this video: ✅ Understanding the problem statement and real-world analogy ✅ How Disjoint Set (Union-Find) helps in solving graph connectivity problems ✅ Path Compression & Union by Rank optimization techniques ✅ Complete Python implementation step-by-step ✅ Time and Space Complexity breakdown ✅ Quick comparison with DFS/BFS approaches This is a very important problem for mastering Graph Connectivity, Union-Find, and efficient component counting in graphs. 🔗 GFG Problem - Number of Provinces: https://www.geeksforgeeks.org/problem... 📄 Full Playlist Sheet (All Questions in Order): https://docs.google.com/spreadsheets/... 🎓 Enroll in the FREE Python DSA Course: https://codeanddebug.in/course/master... 🚀 Full DSA Track (Zero to Hero): https://codeanddebug.in/course/zero-t... Stay consistent and keep improving with Code & Debug. Like | Share | Subscribe | Hit the 🔔 #NumberOfProvinces #DisjointSet #UnionFind #GraphProblems #PythonDSA #GraphConnectivity #CodeAndDebug #Part160 #DSACourse