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Proceedings of the 13th Python in Science Conference (SciPy 2014)

Stéfan van der Walt, James Bergstra

July 6 - 12

Austin, Texas



Preface 1
Andy Terrel, Jonathan Rocher, Stéfan van der Walt, James Bergstra

Scientific Computing with SciPy for Undergraduate Physics Majors 2
G William Baxter

BCE: Berkeley's Common Scientific Compute Environment for Research and Education 5
Dav Clark, Aaron Culich, Brian Hamlin, Ryan Lovett

Measuring rainshafts: Bringing Python to bear on remote sensing data 14
Scott Collis, Scott Giangrande, Jonathan Helmus, Di Wu, Ann Fridlind, Marcus van Lier-Walqui, Adam Theisen

Teaching numerical methods with IPython notebooks and inquiry-based learning 20
David I. Ketcheson

Project-based introduction to scientific computing for physics majors 27
Jennifer Klay

Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn 34
Brent Komer, James Bergstra, Chris Eliasmith

Python Coding of Geospatial Processing in Web-based Mapping Applications 41
James A. Kuiper, Andrew J. Ayers, Michael E. Holm, Michael J. Nowak

Scaling Polygon Adjacency Algorithms to Big Data Geospatial Analysis 48
Jason Laura, Sergio J. Rey

Campaign for IT literacy through FOSS and Spoken Tutorials 55
Kannan M. Moudgalya

Python for research and teaching economics 63
David R. Pugh

Validated numerics with Python: the ValidiPy package 69
David P. Sanders, Luis Benet

Creating a browser-based virtual computer lab for classroom instruction 77
Ramalingam Saravanan

TracPy: Wrapping the Fortran Lagrangian trajectory model TRACMASS 85
Kristen M. Thyng, Robert D. Hetland

Frequentism and Bayesianism: A Python-driven Primer 91
Jake VanderPlas

Blaze: Building A Foundation for Array-Oriented Computing in Python 100
Mark Wiebe, Matthew Rocklin, TJ Alumbaugh, Andy Terrel

Simulating X-ray Observations with Python 104
John A. ZuHone, Veronica Biffi, Eric J. Hallman, Scott W. Randall, Adam R. Foster, Christian Schmid