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6469264701 of 82199 results
64692.
Provides old namespace (scikits.statsmodels) and could be removed if dependent code migrated to use statsmodels for clarity of the namespace.
Description
(no translation yet)
Located in Package: python-scikits.statsmodels
64693.
scientific tools for Python
Summary
outils scientifiques pour Python
Translated by Michael Vogt
Located in Package: python-scipy
64694.
scientific tools for Python - debugging symbols
Summary
outils scientifiques pour Python - symboles de débogage
Translated and reviewed by Pierre Slamich
Located in Package: python-scipy-dbg
64695.
This package provides debugging symbols for python-scipy.
Description
Ce paquet fournit les symboles de débogage pour python-scipy.
Translated and reviewed by Pierre Slamich
Located in Package: python-scipy-dbg
64696.
Python binding of Scilab
Summary
Liaison Python pour Scilab
Translated and reviewed by Pierre Slamich
Located in Package: python-sciscipy
64697.
Sciscipy provides a Python API to map Scilab features. Three main methods are available:
* sciscipy.eval(sci_cmd)
* sciscipy.read(sci_var_name)
* sciscipy.write(sci_var_name, py_var_name)
Description
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(no translation yet)
Located in Package: python-sciscipy
64698.
Also, to increase the level of enjoyment, a python module called scilab is also provided. This package contains a class 'Scilab' that can be used to issue any valid scilab function.
Description
(no translation yet)
Located in Package: python-sciscipy
64699.
Python library for scientific computing
Summary
Bibliothèque Python pour le calcul scientifique
Translated by Pierre Slamich
Reviewed by Sylvie Gallet
Located in Package: python-scitools
64700.
SciTools is a Python package containing lots of useful tools for scientific computing in Python. The package is built on top of other widely used packages such as NumPy, SciPy, ScientificPython, Gnuplot, etc.
Description
(no translation yet)
Located in Package: python-scitools
64701.
SciTools also comes with a plotting interface called Easyviz, which is a unified interface to various packages for scientific visualization and plotting. Both curve plots and more advanced 2D/3D visualization of scalar and vector fields are supported. The Easyviz interface was designed with three ideas in mind: 1) a simple, Matlab-like syntax; 2) a unified interface to lots of visualization engines (backends): Gnuplot, Matplotlib, Grace, Veusz, Pmw.Blt.Graph, PyX, Matlab, VTK, VisIt, OpenDX; and 3) a minimalistic interface which offers only basic control of plots: curves, linestyles, legends, title, axis extent and names. More fine-tuning of plots can be done by adding backend-specific commands.
Description
(no translation yet)
Located in Package: python-scitools
6469264701 of 82199 results

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