Dynamic Programming, or dynamic optimization, is an optimization approach that simplifies complex problems by breaking them into smaller, interconnected subproblems. This method eliminates redundancy and significantly improves efficiency. DP finds practical applications in various real-world problems within Operations Research, enhancing decision-making processes. Its usefulness is shown by two examples with a practical application in Python.