fluiddyn 0.6.6

Framework for studying fluid dynamics.

FluidDyn project is an ecosystem of packages for research and teaching in fluid dynamics. The Python package fluiddyn contains:

• basic utilities to manage: File I/O for some esoteric formats, publication quality figures, job submission on clusters, MPI

• powerful classes to handle: parameters, arrays, series of files

• simplified interfaces to calculate: FFT, spherical harmonics

and much more. It is used as a library in the other specialized packages of the FluidDyn project (in particular in fluidfft, fluidsim, fluidlab and fluidimage).

Documentation: Read the Docs, Heptapod Pages

Installation

The simplest way to install fluiddyn is by using pip:

pip install fluiddyn

Requirements

Minimum	Python (>=3.9), numpy matplotlib h5py psutil
Full functionality	h5py h5netcdf pillow imageio mpi4py scipy pyfftw (requires FFTW library), SHTns
Optional	OpenCV with Python bindings, scikit-image

Note: Detailed instructions to install the above dependencies using Anaconda / Miniconda or in a specific operating system such as Ubuntu, macOS etc. can be found here.

Tests

With an editable installation, you can run the tests with:

pytest

Metapaper and citation

If you use any of the FluidDyn packages to produce scientific articles, please cite our metapaper presenting the FluidDyn project and the fluiddyn package:

@article{fluiddyn,
doi = {10.5334/jors.237},
year = {2019},
publisher = {Ubiquity Press,  Ltd.},
volume = {7},
author = {Pierre Augier and Ashwin Vishnu Mohanan and Cyrille Bonamy},
title = {{FluidDyn}: A Python Open-Source Framework for Research and Teaching in Fluid Dynamics
    by Simulations,  Experiments and Data Processing},
journal = {Journal of Open Research Software}
}

History

The FluidDyn project started in 2015 as the evolution of two packages previously developed by Pierre Augier (CNRS researcher at LEGI, 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 and ambitions: fluid dynamics research with Python (>= 3.6), 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.