NumPy

Introduction

NumPy is the fundamental package for scientific computing with Python.

It contains among other things:

  • A powerful N-dimensional array object
  • Sophisticated (broadcasting) functions
  • Tools for integrating C/C++ and Fortran code
  • Useful linear algebra, Fourier transform, and random number capabilities

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Web Page

Official web page

Versions

1.11.2

Flavours

py27

Architecture

x86_64

Group
module load cv-standard
Build Details

Installed by Cluster Vision.

Usage
module load numpy/1.11.2/py27
Example Job Scripts

None yet.

Status

Tested.