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📘 Welcome to Part 208 of Code & Debug’s DSA in Python Course! In this session, we decode the classic string DP problem: Longest Common Subsequence (LCS). Given two strings, the task is to find the length of their LCS—subsequence order preserved, not necessarily contiguous. We’ll build intuition from recursion and upgrade through memoization, clean 1-based indexing DP, tabulation, and an interview-favorite space-optimized solution. 🔗 LeetCode Problem – Longest Common Subsequence: https://leetcode.com/problems/longest-common-subsequence/description/ 🔗 In-Depth Article with All Approaches & Code: https://codeanddebug.in/blog/longest-common-subsequence/ 📄 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 🔔 #LCS #LongestCommonSubsequence #LeetCode1143 #DynamicProgramming #StringDP #Memoization #Tabulation #SpaceOptimization #PythonDSA #CodeAndDebug #Part208 #DPonStrings #InterviewPrep
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