Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python Course - Min Stack | Get Minimum in O(1) using Stack | Leetcode 155 - Part 89 [Hindi]

🚀 Welcome to Part 89 of Code & Debug’s DSA in Python Course! In this lecture, we solve Leetcode 155: Min Stack, where we design a stack that supports push(), pop(), top(), and retrieving the minimum element in constant time (O(1)). 📚 What you’ll learn in this video: ✅ Problem breakdown and constraints of Min Stack ✅ Optimized approach using two stacks or appending (val, min_so_far) in a single stack ✅ How to track the minimum at every operation ✅ Complete Python implementation ✅ Time and space complexity analysis 💡 Why is this important? This problem is a frequent interview question that tests your ability to maintain state within a data structure. It teaches optimization techniques using stacks and is a must-practice for real-time data tracking problems. 👉 Practice the problem on Leetcode: 🔗 https://leetcode.com/problems/min-stack/ 👉 Refer to the article for better understanding: 📌 https://codeanddebug.in/blog/min-stack/ 👉 📄 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. #MinStack #StackWithMin #Leetcode155 #PythonDSA #DSAPythonCourse #CodeAndDebug #GetMinimumInConstantTime #DataStructureDesign #Part89