
Proceedings of the 10th Python in Science Conference
Accepted Papers¶
A Technical Anatomy of SPM.Python, a Scalable, Parallel Version of Python
Minesh Amin
Fitting and Estimating Parameter Confidence Limits with Sherpa
Brian Refsdal, Stephen Doe, Dan Nguyen, Aneta Siemiginowska
Crab: A Recommendation Engine Framework for Python
Marcel Caraciolo, Bruno Melo, Ricardo Caspirro
gpustats: GPU Library for Statistical Computing in Python
Andrew Cron, Wes McKinney
Using the Global Arrays Toolkit to Reimplement NumPy for Distributed Computation
Jeff Daily, Robert Lewis
Vision Spreadsheet: An Environment for Computer Vision
Scott Determan
Constructing scientific programs using SymPy
Mark Dewing
Using Python, Partnerships, Standards and Web Services to provide Water Data for Texans
Dharhas Pothina, Andrew Wilson
PyModel: Model-based testing in Python
Jonathan Jacky
Automation of Inertial Fusion Target Design with Python
Matthew Terry, Joseph Koning
Hurricane Prediction with Python
Minwoo Lee, Charles Anderson, Mark DeMaria
IMUSim - Simulating inertial and magnetic sensor systems in Python
Martin Ling, Alex Young
Using Python to Construct a Scalable Parallel Nonlinear Wave Solver
Kyle Mandli, Amal Alghamdi, Aron Ahmadia, David Ketcheson, William Scullin
Building a Framework for Predictive Science
Michael McKerns, Leif Strand, Tim Sullivan, Alta Fang, Michael Aivazis
PyStream: Compiling Python onto the GPU
Nick Bray
Bringing Parallel Performance to Python with Domain-Specific Selective Embedded Just-in-Time Specialization
Shoaib Kamil, Derrick Coetzee, Armando Fox
N-th-order Accurate, Distributed Interpolation Library
Stephen McQuay, Steven Gorrell
Google App Engine Python
Douglas Starnes
Time Series Analysis in Python with statsmodels
Wes McKinney, Josef Perktold, Skipper Seabold
Improving efficiency and repeatability of lake volume estimates using Python
Tyler McEwen, Dharhas Pothina, Solomon Negusse