fluiddyn 0.6.5
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.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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