DumPy aims to simplify the handling of multi-dimensional arrays, addressing common criticisms of NumPy's complexity. The author highlights that NumPy's syntax can be difficult for beginners, particularly with complex operations like triple-nested loops. By comparing traditional programming methods with NumPy's functional approach, the author argues that the former may be more intuitive and accessible. This initiative reflects a growing trend in tech to make powerful tools more user-friendly, especially for novices in data science and numerical computing.