DSAPython – Minimum Platforms Required | Brute Force to Optimal Two-Pointer | GFG – Part 105 [Hindi]

🚀 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

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