Jump Game II is a classic follow-up to the original Jump Game problem. It’s not just about whether you can reach the end... now you have to do it in the fewest jumps possible! That small change turns a simple reachability problem into one that tests how well you can optimize greedy strategies or dynamic programming under pressure.

The "Jump Game" question is a popular one for interviews because it tests your ability to think greedily and work with dynamic movement through an array. It's a great warm-up for range-based greedy logic and helps build intuition for reachability problems, concepts that show up often in competitive coding and systems design.

Maximum Subarray - Kadane's Algorithm is is a classic problem that introduces one of the most elegant uses of dynamic programming. It teaches you how to keep track of optimal sub-solutions and make decisions based on current and previous results. Once you’ve got this down, it opens the door to more complex dynamic programming challenges.

Dynamic Programming (DP) is a powerful technique used to solve complex problems by breaking them down into simpler subproblems. Whether...