Python Tools For Coding And Feature Learning Scipy 2013 Presentation

Summary

Authors: Johnson, Leif, University of Texas at Austin Track: Machine Learning Sparse Authors: Kastner, Kyle, Southwest Research Institute Track: Machine Authors: Zinkov, Rob Track: Machine Authors: Bergstra, James, University of Waterloo: Pinto, Nicolas, Massachusetts Institute of Technology; Cox, David D., Harvard ... Authors: Cordoba, Carlos, The Spyder Project Track: Reproducible Science The enormous progress made by the IPython project ... Authors: Bekolay, Trevor, University of Waterloo Track: Reproducible Science Every scientist should be able to regenerate the ... Authors: Bezanson, Jeff, MIT; Karpinski, Stefan, MIT Track: General Julia is a recent addition to the collection of Authors: Granger, Brian, Cal Poly San Luis Obispo Track: General Everyone knows that in software, Authors: Simon Ratcliffe SKA South Africa, Ludwig Schwardt SKA South Africa Track: Astronomy and Astrophysics The Square ... Authors: Vanderplas, Jake, University of Washington; Ivezic, Zeljko, University of Washington; Connolly, Andrew, University of ... Authors: Arya, Kapil, Northeastern University; Cooperman, Gene, Northeastern University Track: General DMTCP[1] is a mature ... Authors: Avila, Damian, OQUANTA; Track: Reproducible Science In the last years, Authors: Zhang, Zhang, Intel Corporation; Rosenquist, Todd, Intel Corporation; Moffat, Kent, Intel Corporation Track: General The ...