Documentation of waLBerla’s Python interface

Quick Start / Tutorials:

You can quickly try out waLBerla’s Python interface in a hosted IPython notebook without having to install anything:

http://demo.walberla.net

This site contains interactive tutorials, illustrating how to set up a 2D lattice Boltzmann simulation with waLBerla.

Installation with conda:

To run waLBerla on your own machine the simplest way to get going is the installation via the conda package manager:

conda install --channel lssfau walberla

Run in docker:

Docker is a lightweight virtualization solution. We provide a docker image that contains the same environment as hosted on http://demo.walberla.net. With this image you can run and develop waLBerla simulations on your own machine without having to manually install the dependencies. All you need is a running installation of Docker. Run the waLBerla image with the following command and navigate in your browser to http://localhost:8888

docker run -it -p 8888:8888 walberla/runenv-ubuntu-python

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