Python library options: NumPy and Pandas There are many powerful Python C libraries that provide high performance for scientific applications that process large amounts of data in arrays or matrices.

Unlike R, Python has no clear “winning” IDE. We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, ...