Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - Make Network Connected Using Disjoint Set | LeetCode 1319 | Part 161 [Hindi]

📘 Welcome to Part 161 of Code & Debug’s DSA Python Course! In this video, we tackle the famous Make Network Connected problem from LeetCode using the Disjoint Set (Union-Find) approach. This problem revolves around determining the minimum number of operations required to connect all computers in a network. The Union-Find technique efficiently helps track connected components and extra edges to solve this problem optimally. 👨‍🏫 What’s covered in this video: ✅ Problem understanding with real-world network analogy ✅ How to use Disjoint Set to manage connected components ✅ Path Compression & Union by Rank explained ✅ Identifying extra edges to connect components ✅ Step-by-step Python code walkthrough ✅ Time and Space Complexity breakdown ✅ When is it impossible to connect the network? This problem is an excellent application of Union-Find for real-world network design and graph connectivity challenges. 🔗 LeetCode Problem - Make Network Connected: https://leetcode.com/problems/number-of-operations-to-make-network-connected/description/ 📄 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 🚀 Full DSA Track (Zero to Hero): https://codeanddebug.in/course/zero-to-hero-python-dsa Stay consistent and master graph problems with Code & Debug. Like | Share | Subscribe | Hit the 🔔 #MakeNetworkConnected #DisjointSet #UnionFind #GraphProblems #PythonDSA #LeetCode #CodeAndDebug #Part161 #NetworkConnectivity