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High Performance Reproducible Computing; SciPy 2013 Presentation
The advantages of a scientific IDE; SciPy 2013 Presentation
A Portrait of One Scientist as a Graduate Student; SciPy 2013 Presentation
lmonade: a platform for development and distribution of scientific software; SciPy 2013 Presentation
Python and the SKA; SciPy 2013 Presentation
Matplotlib: past, present and future; SciPy 2013 Presentation
Analyzing IBM Watson experiments with IPython Notebook; SciPy 2013 Presentation
Dexy and Docker for Scientific Reproducibility | SciPy 2015 | Ana Nelson
A comprehensive look at representing physical quantities in Python; SciPy 2013 Presentation
Using Sumatra to Manage Numerical Simulations; SciPy 2013 Presentation
Why you should write buggy software with as few features as possible; SciPy 2013 Presentation
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Last Updated: October 19, 2026
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Authors: Poore, Geoffrey, Union University Track: Authors: Bekolay, Trevor, University of Waterloo Track: lpEdit: An editor to facilitate Authors: Zhang, Zhang, Intel Corporation; Rosenquist, Todd, Intel Corporation; Moffat, Kent, Intel Corporation Track: General The ... Authors: Cordoba, Carlos, The Spyder Project Track: Authors: Ivanov, Paul, UC Berkeley Track: General In this talk, I will focus on the how of Authors: Erocal, Burcin, TU Kaiserslautern Track: Authors: Simon Ratcliffe SKA South Africa, Ludwig Schwardt SKA South Africa Track: Astronomy and Astrophysics The Square ... Authors: Michael Droettboom Track: Authors: Bittner, Torsten, IBM Track: General IBM's Emerging Technologies team was tasked with migrating the IBM Watson ... So we want to be able to write our Authors: Davison, Andrew, CNRS (principal developer); Wheeler, Daniel, NIST (speaker) Track: Authors: Granger, Brian, Cal Poly San Luis Obispo Track: General Everyone knows that in software, features are good and bugs ...
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