NumPy Tutorial for Data Science

Numpy is a powerful array-processing package for Python, providing high-performance multidimensional array objects and tools. It is essential for scientific computing and can be used as an efficient container for generic data. Numpy arrays, known as ndarray, store elements of the same type and are indexed by a tuple of positive integers. Arrays' dimensions are called ranks, and their size along each dimension is referred to as the shape. Numpy arrays are easily initialized using nested Python lists.

For more details, check out the full article: Python Numpy.