reproducible research

See the following -

$6M for UC Berkeley and Cal Poly to Expand and Enhance Open-Source Software for Scientific Computing and Data Science

Press Release | Gordon and Betty Moore Foundation | July 7, 2015

Three foundations pledged $6M over the next three years to Project Jupyter, an open-source software project that supports scientific computing and data science across a wide range of programming languages via a large, public, open and inclusive community. Fernando Perez of University of California, Berkeley and Lawrence Berkeley National Laboratory and Brian Granger of California Polytechnic University, San Luis Obispo will lead the project at their institutions. Perez and Granger’s efforts with Project Jupyter are the result of their work developing IPython, a popular user interface for interactive computing across multiple programming languages.

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2013 Scientific Computing With Python Conference (SciPy 2013)

Pat Marion, Matt McCormick, Will Schroeder | Kitware Blog | July 19, 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. [...] Read More »