🟤 Part 16 — Dynamic Programming

Start with:

• Memoization, Tabulation, 1D DP, 2D DP

Then:

• Fibonacci pattern, Climbing stairs, Knapsack, Coin change, Subset sum

• Longest Common Subsequence, Longest Increasing Subsequence, Matrix DP, Grid problems, DP on trees, DP on strings

🎯 Goal: Recognize overlapping subproblems and optimal substructure.

🟤 Part 17 — Advanced Data Structures

After the core DSA topics:

• Trie, Segment Tree, Fenwick Tree / BIT, Sparse Table, Advanced heaps, Advanced graph structures

🏆 Part 18 — Problem-Solving Patterns

This is extremely important for interviews. Master:

• Two pointers, Sliding window, Fast & slow pointers, Prefix sum, Binary search, Hashing

• Monotonic stack, Recursion, Backtracking, Divide & conquer, Greedy, Dynamic programming

• BFS/DFS, Topological sorting, Union-Find

💼 Part 19 — Interview Preparation

Practice problems across:

• Arrays, Strings, Linked Lists, Stack & Queue, Hashing, Trees, BST, Heap, Graphs, Greedy, DP, Recursion & Backtracking

Don't just solve problems—learn to explain: Approach → Why it works → Complexity → Edge cases → Code

🚀 Part 20 — Competitive & Advanced Practice

Once you're comfortable with interview-level DSA:

• Timed problem solving, Mixed-topic problems, Contest practice, Optimization

• Advanced graph problems, Advanced DP, Hard-level problems, Mock interviews

🎯 Double Tap ❤️ For Detailed Explanation