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ScientificPython is an open source library of scientific tools for the Python programming language. Its development started in 1995. It has not been updated since October 1, 2014. The library includes * mathematical tools like * Differentiation for functions of any number of variables up to any order * Numerical integration using the Romberg algorithm * Newton–Raphson for numerical root finding * Non-linear least squares fitting * support for parallel computing * Bulk synchronous parallel * Message Passing Interface * and several input/output interfaces, notably with * NetCDF files * Protein Data Bank files * Fortran-compatible text formatting * VRML for 3D visualizations

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  • ScientificPython is an open source library of scientific tools for the Python programming language. Its development started in 1995. It has not been updated since October 1, 2014. The library includes * mathematical tools like * Differentiation for functions of any number of variables up to any order * Numerical integration using the Romberg algorithm * Newton–Raphson for numerical root finding * Non-linear least squares fitting * support for parallel computing * Bulk synchronous parallel * Message Passing Interface * and several input/output interfaces, notably with * NetCDF files * Protein Data Bank files * Fortran-compatible text formatting * VRML for 3D visualizations Qt and Tk widget toolkits are provided for building cross-platform graphical user interfaces. ScientificPython is released under the CeCILL. The main developer and maintainer of ScientificPython is Konrad Hinsen of Orléans University who uses it as a building block for his own research code, in particular the molecular modeling toolkit MMTK and the software nMoldyn that uses molecular dynamics trajectories to predict neutron scattering spectra. Outside this particular application context, most users are likely to prefer the package SciPy, which has seen a more dynamic evolution in the decade 2000–2010, involving several active developers. (en)
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  • ScientificPython is an open source library of scientific tools for the Python programming language. Its development started in 1995. It has not been updated since October 1, 2014. The library includes * mathematical tools like * Differentiation for functions of any number of variables up to any order * Numerical integration using the Romberg algorithm * Newton–Raphson for numerical root finding * Non-linear least squares fitting * support for parallel computing * Bulk synchronous parallel * Message Passing Interface * and several input/output interfaces, notably with * NetCDF files * Protein Data Bank files * Fortran-compatible text formatting * VRML for 3D visualizations (en)
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  • ScientificPython (en)
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