Dynamic Programming

Dynamic programming is an algorithmic technique used to solve complex problems by breaking them down into smaller subproblems, storing the results of each subproblem to avoid redundant computation. This approach is particularly relevant to the tech community as it enables developers to optimize the performance of applications, improve scalability, and tackle challenging problems in fields like data analysis, machine learning, and software engineering, making it a fundamental concept in computer science and a valuable skill for programmers to master.