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
Versions
1.11.2
Flavours
py27
Architecture
x86_64
Group
module load site-local
Build Details
Installed by Cluster Vision.
Usage
module load numpy/1.11.2/py27
Example Job Scripts
None yet.
Status
Tested.
1.14.3
Flavours
py36/01
Architecture
x86_64
Group
module load site-local