Imperative programming is a programming paradigm where computation is executed step-by-step as it is defined in the code. This approach makes it easier to design new machine learning models because developers can intuitively utilize standard control flow constructs (such as loops and conditionals) and tap into vast, existing software ecosystems, like that of Python. Additionally, imperative programming simplifies the debugging process, as developers can readily access and inspect all intermediate variable values during execution.