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