DSA in Python Course - Maximum Points You Can Obtain from Cards | Leetcode 1423 - Part 97 [Hindi]

🚀 Welcome to Part 97 of Code & Debug’s DSA in Python Course! In this lecture, we solve Leetcode 1423: Maximum Points You Can Obtain from Cards using a strict O(n) optimal sliding window approach. We focus directly on the best solution, without brute-forcing, to handle large inputs efficiently! 📚 What you’ll learn in this video: ✅ Problem breakdown and edge case understanding ✅ Optimal idea: Minimize the sum of the middle (remaining) subarray instead of directly maximizing the picked points ✅ Full Sliding Window implementation ✅ Step-by-step dry run and explanation ✅ Time and space complexity analysis 💡 Why is this important? This problem sharpens your understanding of reframing problems to optimize performance, a key skill in FAANG interviews. It also teaches an important trick: sometimes maximizing a score is the same as minimizing the loss. 👉 Practice the problem on Leetcode: 🔗 https://leetcode.com/problems/maximum... 👉 Refer to the article for better understanding: 📌 https://codeanddebug.in/blog/maximum-... 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/... 👉 Enroll in the free DSA Python course here: https://codeanddebug.in/course/master... 👉 Enroll for Self-Paced Advance DSA course here: https://codeanddebug.in/course/zero-t... 🙏 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. #SlidingWindow #MaximumPoints #Leetcode1423 #ArrayOptimization #PythonDSA #DSAPythonCourse #CodeAndDebug #CompetitiveProgramming #CodingInterviews #Part97