Dynamic programming is a technique for solving complex problems by breaking them down into simpler subproblems and storing the results to avoid redundant calculations. It's like memoization on steroids, perfect for when you need to optimize your code but don't want to spend all day doing it.

How to use it in a sentence

• I was going to brute force this problem, but then I remembered dynamic programming exists and I'd rather not wait until the heat death of the universe for my code to finish.

• When the PM asked why the feature was taking so long, I explained that I was using dynamic programming to make it more efficient, hoping they wouldn't ask me to explain further.

If you actually want to learn more...

• Dynamic Programming vs Divide-and-Conquer: This article compares and contrasts dynamic programming with the divide-and-conquer approach, highlighting when each technique is most appropriate.

• Dynamic Programming Patterns: If you're looking to level up your coding interview skills, this LeetCode post breaks down common dynamic programming patterns that are sure to impress even the most jaded interviewer.

• Dynamic Programming for Machine Learning: For those who want to apply dynamic programming to machine learning problems, this article explores how the technique can be used in various ML contexts, from reinforcement learning to sequence modeling.

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