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📘 Welcome to Part 199 of Code & Debug’s DSA in Python Course! In this lesson, we dive into Minimum Path Sum in Triangular Grid, LeetCode 120, a must-know for dynamic programming enthusiasts! The challenge: Given a triangle array, find the minimum path sum from top to bottom, stepping only to adjacent numbers on the row below. We’ll guide you through all 4 major DP paradigms - brute force recursion, memoization, tabulation, and space optimization, mirroring our detailed explanations from the blog. Mastering this problem will help you ace a wide class of bottom-up and space-optimized DP interview questions, especially those involving non-standard grids and triangle-shaped structures. 👨🏫 What’s covered in this video: 1. Problem statement breakdown and sample walkthroughs 2. Approach 1: Brute Force Recursion 3. Approach 2: Memoization (Top-Down DP) 4. Approach 3: Tabulation (Bottom-Up DP) 5. Approach 4: Space-Optimized Tabulation (O(n) space) 6. Stepwise Python implementations for each method 7. Dry runs for intuition-building and state transitions 8. Comprehensive time & space complexity analysis 🔗 LeetCode Problem – Triangle: https://leetcode.com/problems/triangle/description/ 🔗 Detailed Article with Codes & Explanations: https://codeanddebug.in/blog/triangle/ 📄 FULL Playlist Sheet (Every Video Listed): https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 🎓 Enroll Free: Master Python DSA Course https://codeanddebug.in/course/master-dsa-with-leetcode 🚀 Advance Python DSA for FAANG (Zero to Hero Course): https://codeanddebug.in/course/zero-to-hero-python-dsa Stay focused and keep coding with Code & Debug. Like | Share | Subscribe | Hit the 🔔 #Triangle #MinimumPathSum #LeetCode120 #DynamicProgramming #BottomUpDP #Memoization #Tabulation #SpaceOptimization #PythonDSA #CodeAndDebug #Part199 #TriangleDP #DPPatterns #InterviewPrep
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