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🚀 Welcome to Part 105 of Code & Debug’s DSA in Python Course! In this lecture, we tackle the classic Minimum Platforms problem from GFG by first understanding the Brute Force solution and then moving to a highly efficient Two-Pointer Optimized approach. 📚 What you’ll learn in this video: ✅ Problem understanding with real-life train schedule analogy ✅ Brute Force approach using pairwise overlap comparison ✅ Optimal approach using sorted arrival/departure arrays and two-pointer technique ✅ Step-by-step dry run to visualize platform allocation ✅ Time and space complexity analysis of both methods 👉 Practice the problem on Leetcode: 🔗 https://www.geeksforgeeks.org/problems/minimum-platforms-1587115620/1 👉 Refer to the article for better understanding: 📌 https://codeanddebug.in/blog/minimum-platforms/ 👉 📄 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.
