Introduction of Python Tools For Coding And Feature Learning Scipy 2013 Presentation
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Skdata: Data sets and algorithm evaluation protocols in Python; SciPy 2013 Presentation
An efficient workflow for reproducible science; SciPy 2013 Presentation
The advantages of a scientific IDE; SciPy 2013 Presentation
Why you should write buggy software with as few features as possible; SciPy 2013 Presentation
Python and the SKA; SciPy 2013 Presentation
Julia and Python: a dynamic duo for scientific computing; SciPy 2013 Presentation
High Performance Reproducible Computing; SciPy 2013 Presentation
metaseq: a Python framework for integrating sequencing analyses; SciPy 2013 Presentation
Opening Up Astronomy with Python and AstroML; SciPy 2013 Presentation
vIPer, a new tool to work with IPython notebooks; SciPy 2013 Presentations
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Last Updated: September 16, 2026
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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 lpEdit: An editor to facilitate reproducible analysis via literate Authors: Bergstra, James, University of Waterloo: Pinto, Nicolas, Massachusetts Institute of Technology; Cox, David D., Harvard ... Authors: Bekolay, Trevor, University of Waterloo Track: Reproducible Science Every scientist should be able to regenerate the ... Authors: Cordoba, Carlos, The Spyder Project Track: Reproducible Science The enormous progress made by the IPython project ... 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: Bezanson, Jeff, MIT; Karpinski, Stefan, MIT Track: General Julia is a recent addition to the collection of Authors: Zhang, Zhang, Intel Corporation; Rosenquist, Todd, Intel Corporation; Moffat, Kent, Intel Corporation Track: General The ... Authors: Vanderplas, Jake, University of Washington; Ivezic, Zeljko, University of Washington; Connolly, Andrew, University of ... Authors: Avila, Damian, OQUANTA; Track: Reproducible Science In the last years,
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