Python Tools for Reproducible Research on Hyperbolic Problems

Reproducible research in computational science is only possible if the computer codes used to generate published results are distributed and/or archived in a form that can later be used to regenerate the results and can be examined to determine details of the method used. The author discusses some difficulties in achieving this goal and surveys a set of Python tools for facilitating reproducible research on finite volume methods for hyperbolic conservation laws using the Clawpack software.