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authorAleksandar Samardzic <asamardzic@matf.bg.ac.yu>2010-05-11 20:00:27 +0200
committerRobby Workman <rworkman@slackbuilds.org>2010-05-11 20:00:27 +0200
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+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.