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The Python package fluiddyn contains:\n\n* **basic utilities to manage**: File I/O for some esoteric formats,\n  publication quality figures, job submission on clusters, MPI\n* **powerful classes to handle**: parameters, arrays, series of files\n* **simplified interfaces to calculate**: FFT, spherical harmonics\n\nand much more. It is used as a library in `the other specialized packages of\nthe FluidDyn project \u003chttps://foss.heptapod.net/fluiddyn\u003e`_ (in particular in\n`fluidfft \u003chttp://fluidfft.readthedocs.io\u003e`_, `fluidsim\n\u003chttp://fluidsim.readthedocs.io\u003e`_, `fluidlab\n\u003chttp://fluidlab.readthedocs.io\u003e`_ and `fluidimage\n\u003chttp://fluidimage.readthedocs.io\u003e`_).\n\n**Documentation**: `Read the Docs \u003chttps://fluiddyn.readthedocs.io\u003e`_, `Heptapod Pages \u003chttps://fluiddyn.pages.heptapod.net/fluiddyn\u003e`_\n\nInstallation\n------------\nThe simplest way to install fluiddyn is by using pip::\n\n  pip install fluiddyn\n\nRequirements\n------------\n\n+------------------------+-------------------------------------------------------------------------------+\n| **Minimum**            | Python (\u003e=3.9), ``numpy matplotlib h5py psutil``                              |\n+------------------------+-------------------------------------------------------------------------------+\n| **Full functionality** | ``h5py h5netcdf pillow imageio mpi4py scipy pyfftw`` (requires FFTW library), |\n|                        | SHTns                                                                         |\n+------------------------+-------------------------------------------------------------------------------+\n| **Optional**           | OpenCV with Python bindings, ``scikit-image``                                 |\n+------------------------+-------------------------------------------------------------------------------+\n\n**Note**: Detailed instructions to install the above dependencies using\nAnaconda / Miniconda or in a specific operating system such as Ubuntu, macOS\netc. can be found `here\n\u003chttps://fluiddyn.readthedocs.io/en/latest/get_good_Python_env.html\u003e`__.\n\nTests\n-----\n\nWith an editable installation, you can run the tests with::\n\n  pytest\n\n\nMetapaper and citation\n----------------------\n\nIf you use any of the FluidDyn packages to produce scientific articles, please\ncite `our metapaper presenting the FluidDyn project and the fluiddyn package\n\u003chttps://openresearchsoftware.metajnl.com/articles/10.5334/jors.237/\u003e`_:\n\n.. code ::\n\n    @article{fluiddyn,\n    doi = {10.5334/jors.237},\n    year = {2019},\n    publisher = {Ubiquity Press,  Ltd.},\n    volume = {7},\n    author = {Pierre Augier and Ashwin Vishnu Mohanan and Cyrille Bonamy},\n    title = {{FluidDyn}: A Python Open-Source Framework for Research and Teaching in Fluid Dynamics\n        by Simulations,  Experiments and Data Processing},\n    journal = {Journal of Open Research Software}\n    }\n\nHistory\n-------\n\nThe FluidDyn project started in 2015 as the evolution of two packages\npreviously developed by `Pierre Augier\n\u003chttp://www.legi.grenoble-inp.fr/people/Pierre.Augier/\u003e`_ (CNRS researcher at\n`LEGI \u003chttp://www.legi.grenoble-inp.fr\u003e`_, Grenoble): solveq2d (a numerical\ncode to solve fluid equations in a periodic two-dimensional space with a\npseudo-spectral method, developed at KTH, Stockholm) and fluidlab (a toolkit to\ndo experiments, developed in the G. K. Batchelor Fluid Dynamics Laboratory at\nDAMTP, University of Cambridge).\n\n*Keywords and ambitions*: fluid dynamics research with Python (\u003e= 3.6),\nmodular, object-oriented, collaborative, tested and documented, free and\nopen-source software.\n\nLicense\n-------\n\nFluidDyn is distributed under the CeCILL-B_ License, a BSD compatible\nfrench license.\n\n.. _CeCILL-B: http://www.cecill.info/index.en.html\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffluiddyn%2Ffluiddyn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffluiddyn%2Ffluiddyn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffluiddyn%2Ffluiddyn/lists"}