Data Structures and Algorithms with Python | Free DSA with Python Course - DSA Python - N Meetings in One Room | Greedy Scheduling Optimal Solution | GFG - Part 102 [Hindi]

🚀 Welcome to Part 102 of Code & Debug’s DSA in Python Course! In this lecture, we solve N Meetings in One Room using an Optimal Greedy Approach based on meeting end times—an iconic problem in greedy algorithm design and interval scheduling. 📚 What you’ll learn in this video: ✅ Problem intuition with real-life meeting room analogy ✅ Greedy logic: Always pick the next meeting that ends earliest ✅ Complete Python implementation using custom Meeting class ✅ Dry run and conflict-free meeting selection explained ✅ Time and space complexity analysis 👉 Practice the problem on Leetcode: 🔗 https://www.geeksforgeeks.org/problems/n-meetings-in-one-room-1587115620/1 👉 Refer to the article for better understanding: 📌 https://codeanddebug.in/blog/n-meetings-in-one-room/ 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in the free DSA Python course here: https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Enroll for Self-Paced Advance DSA course here: https://codeanddebug.in/course/zero-to-hero-python-dsa 🙏 Thank you for supporting Code & Debug! Don’t forget to like, share, and subscribe to our channel. Hit the 🔔 bell icon to stay updated with our latest lectures. 🔖 Hashtags: #NMeetingsInOneRoom #GreedyAlgorithm #IntervalScheduling #GFG #PythonDSA #DSAPythonCourse #CodeAndDebug #CodingInterviews #Part102 #MeetingScheduling