Metadata-Version: 1.1
Name: scilab2py
Version: 0.2
Summary: Python to Scilab bridge
Home-page: http://github.com/blink1073/scilab2py
Author: Steven Silvester
Author-email: steven.silvester@ieee.org
License: MIT
Download-URL: http://github.com/blink1073/scilab2py
Description: Scilab2Py: Python to Scilab Bridge
        ===================================
        
        .. image:: https://badge.fury.io/py/scilab2py.png/
            :target: http://badge.fury.io/py/scilab2py
        
        .. image:: https://pypip.in/d/scilab2py/badge.png
                :target: https://crate.io/packages/scilab2py/
        
        .. image:: https://coveralls.io/repos/blink1073/scilab2py/badge.png?branch=HEAD
                :target: https://coveralls.io/r/blink1073/scilab2py?branch=HEAD
        
        
        Scilab2Py is a means to seamlessly call Scilab functions and scripts from Python.
        It manages the Scilab session for you, sharing data behind the scenes using
        MAT files.  Usage is as simple as:
        
        .. code-block:: python
        
            >>> sci = scilab2py.Scilab2Py()
            >>> x = sci.zeros(3,3)
            >>> print x, x.dtype
            [[ 0.  0.  0.]
             [ 0.  0.  0.]
             [ 0.  0.  0.]] float64
            ...
        
        
        Features
        --------
        
        - Supports most Scilab datatypes and most Python datatypes and Numpy dtypes.
        - Provides ScilabMagic_ for IPython, including inline plotting in notebooks.
        - Supports cell arrays and structs with arbitrary nesting.
        - Supports sparse matrices.
        - Builds methods on the fly linked to Scilab commands (e.g. `zeros` above).
        - Nargout is automatically inferred by the number of return variables.
        - Thread-safety: each Scilab2Py object uses an independent Scilab session.
        - Can be used as a context manager.
        - Supports Unicode characters.
        - Supports logging of session commands.
        - Optional timeout command parameter to prevent runaway Scilab sessions.
        
        
        .. _ScilabMagic: http://nbviewer.ipython.org/github/blink1073/scilab2py/blob/master/example/scilabmagic_extension.ipynb?create=1
        
        
        Installation
        ------------
        You must have Scilab_ 5.5 installed and in your PATH.
        You must have the Numpy and Scipy libraries installed.
        
        To install Scilab2Py, simply:
        
        .. code-block:: bash
        
            $ pip install scilab2py
        
        Note: scilab2py has been tested with Ubuntu 14.04 and Windows 7.  It
        does not work on Ubuntu 12.04.
        
        
        Documentation
        -------------
        
        Documentation is available online_.
        
        For version information, see the Revision History_.
        
        .. _online: http://blink1073.github.io/scilab2py/docs/
        .. _Scilab: http://www.scilab.org/download/
        .. _History: https://github.com/blink1073/scilab2py/blob/master/HISTORY.rst
        
Platform: Any
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
