NumPyâs core feature is its n-dimensional array object, known as ndarray. This allows for vectorized operations, which means operations can be performed on entire arrays rather than individual elements. This significantly speeds up data processing tasks. For example, in financial modeling, calculating the covariance or correlation matrix of asset returns can be done quickly and efficiently using NumPy arrays, enabling faster decision-making.