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| author |   Aleksandar Samardzic <asamardzic@matf.bg.ac.yu> | 2010-05-11 20:00:27 +0200 |
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| committer |   Robby Workman <rworkman@slackbuilds.org> | 2010-05-11 20:00:27 +0200 |
| commit | f51716089e2a17c8cdda17b085f285f8e664c70f (patch) | |
| tree | 861a6f0d2f45a19061941f6a4e04e7cbc1a2bc3b /development/numpy/README | |
| parent | 1ffcd1f797bbc2a5feaece3f25b99901459a871f (diff) | |
| download | slackbuilds-f51716089e2a17c8cdda17b085f285f8e664c70f.tar.gz slackbuilds-f51716089e2a17c8cdda17b085f285f8e664c70f.tar.xz | |
development/numpy: Added to 12.0 repository
Diffstat (limited to 'development/numpy/README')
| -rw-r--r-- | development/numpy/README | 13 |
1 files changed, 13 insertions, 0 deletions
diff --git a/development/numpy/README b/development/numpy/README new file mode 100644 index 0000000000..6ab3f1293e --- /dev/null +++ b/development/numpy/README @@ -0,0 +1,13 @@ +The fundamental package needed for scientific computing with Python is +called NumPy. This package contains: + * a powerful N-dimensional array object + * sophisticated (broadcasting) functions + * basic linear algebra functions + * basic Fourier transforms + * sophisticated random number capabilities + * tools for integrating Fortran code. + +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 +quickly integrate with a wide-variety of databases. |