Python NumPy

In this tutorial you will find solutions for your numeric and scientific computational problems using NumPy.

NumPy (short for Numerical Python) is an open source Python library for doing scientific computing with Python.

It gives an ability to create multidimensional array objects and perform faster mathematical operations. The library contains a long list of useful mathematical functions, including some functions for linear algebra and complex mathematical operations such as Fourier Transform (FT) and random number generator (RNG).

Most of the other libraries that we use in data analytics with Python, such as scikit-learn, SciPy and Pandas use some of NumPy's features.