Metadata-Version: 1.1
Name: fluiddyn
Version: 0.2.1
Summary: framework for studying fluid dynamics.
Home-page: https://bitbucket.org/fluiddyn/fluiddyn
Author: Pierre Augier
Author-email: pierre.augier@legi.cnrs.fr
License: CeCILL-B
Description: FluidDyn is a framework for research and teaching in fluid dynamics. The Python
        package fluiddyn contains basic utilities (file io, figures, clusters, mpi,
        etc.). It is used as a library in `the other specialized packages of the
        FluidDyn project <https://bitbucket.org/fluiddyn>`_ (in particular in `fluidfft
        <http://fluidfft.readthedocs.io>`_, `fluidsim
        <http://fluidsim.readthedocs.io>`_, `fluidlab
        <http://fluidlab.readthedocs.io>`_ and `fluidimage
        <http://fluidimage.readthedocs.io>`_).
        
        *Keywords and ambitions*: fluid dynamics research with Python (2.7 or >= 3.4),
        modular, object-oriented, collaborative, tested and documented, free and
        open-source software.
        
        License
        -------
        
        FluidDyn is distributed under the CeCILL-B_ License, a BSD compatible
        french license.
        
        .. _CeCILL-B: http://www.cecill.info/index.en.html
        
        Installation
        ------------
        
        It is recommended to `install numpy <http://scipy.org/install.html>`_ before
        installing fluiddyn. Then, the simplest way to install fluiddyn is by using
        pip::
        
          pip install fluiddyn
        
        You can get the source code from `Bitbucket
        <https://bitbucket.org/fluiddyn/fluiddyn>`_ or from `the Python Package Index
        <https://pypi.python.org/pypi/fluiddyn/>`_.
        
        The development mode is often useful. From the root directory, run::
        
          python setup.py develop
        
        
        Requirements
        ------------
        
        **Minimum** : Python (2.7, >=3.4), numpy, matplotlib, psutil, future, subprocess32 (for Python 2.7 only)
        
        **Full functionality**: h5py, h5netcdf, pillow, imageio, mpi4py, scipy, pyfftw (requires FFTW library)
        
        **Optional**: OpenCV with Python bindings, scikit-image
        
        Tests
        -----
        
        From the root directory::
        
          make tests
        
        Or, from the root directory or any of the "test" directories::
        
          python -m unittest discover
        
        History
        -------
        
        The FluidDyn project started in 2015 as the evolution of two packages
        previously developed by `Pierre Augier
        <http://www.legi.grenoble-inp.fr/people/Pierre.Augier/>`_ (CNRS researcher at
        `LEGI <http://www.legi.grenoble-inp.fr>`_, Grenoble): solveq2d (a numerical
        code to solve fluid equations in a periodic two-dimensional space with a
        pseudo-spectral method, developed at KTH, Stockholm) and fluidlab (a toolkit to
        do experiments, developed in the G. K. Batchelor Fluid Dynamics Laboratory at
        DAMTP, University of Cambridge).
        
Keywords: Fluid dynamics,research
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Cython
Classifier: Programming Language :: C
