Metadata-Version: 1.1
Name: scikit-nano
Version: 0.3.2
Summary: Python toolkit for generating and analyzing nanostructure data
Home-page: http://scikit-nano.org/doc
Author: Andrew Merrill
Author-email: androomerrill@gmail.com
License: BSD 2-Clause
Download-URL: http://github.com/androomerrill/scikit-nano
Description: 
        scikit-nano
        ===========
        
        *scikit-nano* is a python toolkit for generating and analyzing
        nanostructure data.
        
        *scikit-nano* can generate structure data (i.e., atomic coordinates)
        for the following classes of nanostructures:
        
            * Fullerenes
            * Graphene
        
                * *N*-layer graphene
                * Bilayer graphene with more fine control over relative layer
                  orientation, including relative rotation and stacking arrangements.
        
            * Nanotubes
        
                * Single-walled nanotubes (SWNTs)
                * SWNT *bundles*
                * Multi-walled nanotubes (MWNTs)
                * MWNT *bundles*
        
        
        The following structure data formats are supported:
        
            * `xyz`
            * `LAMMPS data` (*limited support for full format spec.*)
        
              .. todo:: Provide notes on limitations of LAMMPS data format support
        
            * `LAMMPS dump` (*limited support for full format spec.*)
        
              .. todo:: Provide notes on limitations of LAMMPS dump format support
        
        
        Extending input/output capabilities with more structure data formats
        such as *pdb*, *json*, *zmatrix*, etc. is queued for development
        
        Secondary to its structure generating functions are its
        *structure analysis tools* including:
        
            * defect/vacancy structure analysis
            * nearest-neighbor analysis
            * POAV analysis
        
        
        Important links
        ===============
        
        * Documentation: http://scikit-nano.org/doc
        * Source code repo: https://github.com/androomerrill/scikit-nano
        * Download releases: https://github.com/androomerrill/scikit-nano/releases
        * Issue tracker: https://github.com/androomerrill/scikit-nano/issues
        * PyPI page: https://pypi.python.org/pypi/scikit-nano
        
        Dependencies
        ============
        
        Required Dependencies
        ---------------------
        * `Python 2.7+ <http://python.org/download/>`_
        * `numpy 1.8+ <http://sourceforge.net/projects/numpy/files/NumPy/>`_
        * `scipy 0.13+ <http://sourceforge.net/projects/scipy/files/scipy/>`_
        
        
        Installation
        =============
        
        You can install the latest stable release from the
        `Python Package Index <http://pypi.python.org/pypi/scikit-nano>`_
        using **pip**::
        
            > pip install scikit-nano
        
        Alternatively you can download a source code tarball from
        http://pypi.python.org/pypi/scikit-nano or clone the source code
        from the `github repo <http://github.com/androomerrill/scikit-nano>`_
        using **git**::
        
            > git clone https://github.com/androomerrill/scikit-nano.git
        
        **cd** into the source code directory and run::
        
            > python setup.py install
        
        These commands will probabily fail if you don't have *admin privileges*.
        In that case, try installing to the user base directory.
        Using **pip**::
        
            > pip install --user scikit-nano
        
        Or from source::
        
            > python setup.py install --user
        
Keywords: nano nano-structures nanostructures nanotubes graphene LAMMPS XYZ
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
