numpy¶
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.
homepage: http://www.numpy.org
| version | versionsuffix | toolchain |
|---|---|---|
1.10.4 |
-Python-2.7.11 |
intel/2016a |
1.11.0 |
-Python-2.7.11 |
intel/2016a |
1.12.1 |
-Python-3.5.2 |
intel/2016b |
1.13.0 |
-Python-2.7.13 |
intel/2017a |
1.13.1 |
-Python-3.6.1 |
intel/2017a |
1.8.2 |
-Python-2.7.11 |
foss/2016a |
1.8.2 |
-Python-2.7.11 |
intel/2016a |
1.9.2 |
-Python-2.7.12 |
intel/2016b |
(quick links: (all) - 0 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o - p - q - r - s - t - u - v - w - x - y - z)