🚀 Day 52: Dynamic Programming (DP)💻 DSA Live | Grinding DSA Until We Crack 12+ LPA📚 скачать в хорошем качестве

🚀 Day 52: Dynamic Programming (DP)💻 DSA Live | Grinding DSA Until We Crack 12+ LPA📚

Hi, I’m Kovith 👋 🚀 Welcome to my DSA Live Series, where we grind Data Structures and Algorithms every single day to crack 12+ LPA Product-Based Companies (PBCs) like Amazon, Microsoft, Google, Flipkart, and many more. This series is all about consistency, clarity, and confidence — the three pillars needed to ace top-tier coding interviews. 🎯 Day 52: Dynamic Programming (DP) in DSA In today’s session, we dive deep into Dynamic Programming, one of the most important and challenging topics in coding interviews. You’ll learn how to identify overlapping subproblems, build state transitions, and convert brute-force recursion into optimized DP solutions. We’ll solve some of the most popular DP problems asked in FAANG and other PBC interviews, breaking them down step-by-step for maximum clarity. 🔥 What You’ll Learn: • Core concepts of Dynamic Programming • How to think in DP: recursion ➝ memoization ➝ tabulation • Solving real coding interview problems (LeetCode, Codeforces, GFG) • Tips to identify DP patterns like LIS, Knapsack, Grid DP, Subset DP, String DP • How DP is used in competitive programming and placement interviews 💡 Whether you’re a beginner who finds DP confusing or an advanced coder looking to refine your approach, this live session will strengthen your foundations, sharpen your problem-solving skills, and boost your placement preparation massively. 🌐 Connect with Me: 🔗 LinkedIn:   / kovith   📸 Instagram:   / growtogetherhq   🏷️ Keywords: dsa live telugu, dynamic programming, dp in dsa, dp problems explained, data structures and algorithms telugu, leetcode dp problems, gfg dynamic programming questions, product based company preparation, dsa roadmap telugu, faang interview prep, coding interview telugu, grinding dsa until we crack 12 lpa, dp patterns, dsa course telugu, coding live telugu, dp memoization, dp tabulation, longest increasing subsequence, knapsack dp #dsa #coding #dp #dynamicprogramming #datastructures #algorithms #placements #codinginterview #leetcode #geeksforgeeks #programming #interviewpreparation #faang #productbasedcompanies #dsain2025 #day52 #grindingdsa #codinglivestream #dsaintelugu #dpseries #dpproblems