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).
Author: Konrad HINSEN <hinsen [at] cnrs-orleans [dot] fr>
Maintainer: Juergen "George" Sawinski <jsaw [at] gmx [dot] net>
Build time (on reference hardware): 1405% (relative to binutils)2
Installed size (on reference hardware): 1.07 MB, 143 files
Installed files (on reference hardware): n.a.
1) This page was automatically generated from the T2 package source. Corrections, such as dead links, URL changes or typos need to be performed directly on that source.
2) Compatible with Linux From Scratch's "Standard Build Unit" (SBU).