Exploring Matplotlib Past Present And Future Scipy 2013 Presentation
Exploring Matplotlib Past Present And Future Scipy 2013 Presentation reveals several interesting facts.
- Authors: Mumford, Stuart, University of Sheffield / SunPy Track: Astronomy and Astrophysics Modern solar physicists have, at their ...
- Presenter: Benjamin Root Description This tutorial will be the introduction to
- Authors: Johnson, Leif, University of Texas at Austin Track: Machine Learning Sparse coding and feature learning have become ...
- lpEdit: An editor to facilitate reproducible analysis via literate programming Authors: Richards, Adam, Duke University, CNRS ...
- A Rapidly-Adaptable Analytical Imaging & Measurement Standardization Platform for Cancer Diagnostics Research Authors: ...
In-Depth Information on Matplotlib Past Present And Future Scipy 2013 Presentation
Authors: Michael Droettboom Track: Reproducible Science This talk will be a general "state of the project address" for Authors: Kastner, Kyle, Southwest Research Institute Track: Machine Learning This talk will be an introduction to the root concepts ... Authors: Bezanson, Jeff, MIT; Karpinski, Stefan, MIT Track: General Julia is a recent addition to the collection of tools a scientist ... Authors: Bekolay, Trevor, University of Waterloo Track: Reproducible Science Every scientist should be able to regenerate the ...
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