Industry

Business & Industry Applications
Higher Education Research & Teaching
Government

Language

Python
Other: C

Features

Data Wrangling
Numerical Computing

NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and record arrays), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random number generation and much more.

Due to its status as a foundational scientific computing package, NumPy is used in virtually every large company in tech and finance and at every major university. It has been used at the NBA; at Apple which ships NumPy as part of OSX, at Microsoft in Microsoft Azure Machine Learning Studio, and at Intel in the Intel Distribution for Python.

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