Proceedings of the 13th Python in Science Conference
Accepted Papers¶
Preface
Andy Terrel, Jonathan Rocher, Stéfan van der Walt, James Bergstra
Scientific Computing with SciPy for Undergraduate Physics Majors
G Baxter
BCE: Berkeley’s Common Scientific Compute Environment for Research and Education
Dav Clark, Aaron Culich, Brian Hamlin, Ryan Lovett
Measuring rainshafts: Bringing Python to bear on remote sensing data
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
David Ketcheson
Project-based introduction to scientific computing for physics majors
Jennifer Klay
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn
Brent Komer, James Bergstra, Chris Eliasmith
Python Coding of Geospatial Processing in Web-based Mapping Applications
James Kuiper, Andrew Ayers, Michael Holm, Michael Nowak
Scaling Polygon Adjacency Algorithms to Big Data Geospatial Analysis
Jason Laura, Sergio Rey
Campaign for IT literacy through FOSS and Spoken Tutorials
Kannan Moudgalya
Python for research and teaching economics
David Pugh
Validated numerics with Python: the ValidiPy package
David Sanders, Luis Benet
Creating a browser-based virtual computer lab for classroom instruction
Ramalingam Saravanan
TracPy: Wrapping the Fortran Lagrangian trajectory model TRACMASS
Kristen Thyng, Robert Hetland
Frequentism and Bayesianism: A Python-driven Primer
Jake VanderPlas
Blaze: Building A Foundation for Array-Oriented Computing in Python
Mark Wiebe, Matthew Rocklin, TJ Alumbaugh, Andy Terrel
Simulating X-ray Observations with Python
John ZuHone, Veronica Biffi, Eric Hallman, Scott Randall, Adam Foster, Christian Schmid