Numpy provides convenient routines for manipulating multi-dimensional arrays. Arrays have properties like shape, number of dimensions, and data type. Numpy allows basic array operations, changing array properties, joining and splitting arrays. Universal functions operate on arrays element-by-element and support broadcasting, type casting, and other standard features. Scipy contains tools for scientific computing issues like interpolation, integration, optimization, and more through different submodules.