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scientificpy: Scientific Python1

ScientificPython is a collection of Python modules that are useful for scientific computing. In this collection you will find modules that cover basic geometry (vectors, tensors, transformations, vector and tensor fields), quaternions, automatic derivatives, (linear) interpolation, polynomials, elementary statistics, nonlinear least-squares fits, unit calculations, Fortran-compatible text formatting, 3D visualization via VRML, and two Tk widgets for simple line plots and 3D wireframe models. There are also interfaces to the netCDF library (portable structured binary files), to MPI (Message Passing Interface, message-based parallel programming), and to BSPlib (Bulk Synchronous Parallel programming).

... part of T2, get it here

URL: http://starship.python.net/~hinsen/ScientificPython/

Author: Konrad HINSEN <hinsen [at] cnrs-orleans [dot] fr>
Maintainer: Juergen "George" Sawinski <jsaw [at] gmx [dot] net>

License: GPL
Status: Stable
Version: 2.4.9

Download: http://starship.python.net/~hinsen/ScientificPython/ ScientificPython-2.4.9.tar.gz

T2 source: scientificpy.cache
T2 source: scientificpy.desc

Build time (on reference hardware): 5% (relative to binutils)2

Installed size (on reference hardware): 1.09 MB, 134 files

Dependencies (build time detected): 00-dirtree coreutils diffutils findutils grep python sed sysfiles tar

Installed files (on reference hardware): [show]

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2) Compatible with Linux From Scratch's "Standard Build Unit" (SBU).

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