2013 Scientific Computing With Python Conference (SciPy 2013)

The scientific computing in Python community has been rapidly blossoming over the years thanks to its ability to quickly analyze data in an interactive way, and for its ability to act a glue language that integrates code and data from a variety of environments. The SciPy conference started off as a gathering for developers of scientific packages to discuss future directions, but it has grown to a six day conference consisting of two days of tutorials, two days of conference talks, plenary talks, poster presentations, lightning talks, and birds-of-a-feather (BOF, pronounced b-aw-ff as in David Hasselhoff) sessions, and two days of sprints (hackathons).

This year’s themes were Machine Learning and Reproducible Science, and mini-symposia were held on Medical Imaging, Bioinformatics, Meteorology, Climatology, Atmospheric, and Oceanic Science, Geospatial Data Analysis (GIS), and Astronomy and Astrophysics.

In addition to sponsoring the conference, Kitwareans maintained a strong presence, with CEO Will Schroeder delivering a keynote, Pat Marion presenting a talk and a poster, and Matt McCormick acting as Program Committee Co-Chair.