Pandas is most commonly used for data wrangling and data manipulation purposes, and NumPy objects are primarily used to create arrays or matrices that can be applied to DL or ML models. Whereas Pandas is used for creating heterogenous, two-dimensional data objects, NumPy makes N-dimensional homogeneous objects.
