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📘 Welcome to Part 210 of Code & Debug’s DSA in Python Course! Today we tackle the classic string DP: Longest Common Substring. Unlike subsequence, substring requires contiguity, so any mismatch resets the running length. We’ll solve it using bottom-up DP and then optimize space to linear, while tracking the maximum length on the fly. 🔗 GFG Problem – Longest Common Substring: https://www.geeksforgeeks.org/problems/longest-common-substring1452/1 🔗 In-Depth Article with Code & Explanations: https://codeanddebug.in/blog/longest-common-substring/ 📄 FULL Playlist Sheet (All Videos in Order): 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 🔔 #LongestCommonSubstring #StringDP #DynamicProgramming #Tabulation #SpaceOptimization #GFGPractice #PythonDSA #CodeAndDebug #Part210 #LCSvsSubstring #InterviewPrep
