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ORCID13th SciPy 2014, Austin, Texas
- Stéfan van der Walt, James Bergstra:
Proceedings of the 13th Python in Science Conference, SciPy 2014, Austin, Texas, July 6 - 12, 2014. scipy.org 2014 - Andy Terrel, Jonathan Rocher, Stéfan van der Walt, James Bergstra:
Preface. 1- - G. William Baxter:
Scientific Computing with SciPy for Undergraduate Physics Majors. 2-4 - Dav Clark, Aaron Culich, Brian Hamlin, Ryan Lovett:
BCE: Berkeley's Common Scientific Compute Environment for Research and Education. 5-12 - Scott M. Collis, Scott Giangrande, Jonathan J. Helmus, Di Wu, Ann Fridlind, Marcus van Lier-Walqui, Adam Theisen:
Measuring rainshafts: Bringing Python to bear on remote sensing data. 13-18 - David I. Ketcheson:
Teaching numerical methods with IPython notebooks and inquiry-based learning. 19-24 - Jennifer Klay:
Project-based introduction to scientific computing for physics majors. 25-31 - Brent Komer, James Bergstra, Chris Eliasmith:
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn. 32-37 - James A. Kuiper, Andrew J. Ayers, Michael E. Holm, Michael J. Nowak:
Python Coding of Geospatial Processing in Web-based Mapping Applications. 38-44 - Jason Laura, Sergio J. Rey:
Scaling Polygon Adjacency Algorithms to Big Data Geospatial Analysis. 45-50 - Kannan M. Moudgalya:
Campaign for IT literacy through FOSS and Spoken Tutorials. 51-58 - David R. Pugh:
Python for research and teaching economics. 59-64 - David P. Sanders, Luis Benet:
Validated numerics with Python: the ValidiPy package. 65-71 - Ramalingam Saravanan:
Creating a browser-based virtual computer lab for classroom instruction. 72-78 - Kristen M. Thyng, Robert D. Hetland:
TracPy: Wrapping the Fortran Lagrangian trajectory model TRACMASS. 79-84 - Jake VanderPlas:
Frequentism and Bayesianism: A Python-driven Primer. 85-93 - Mark Wiebe, Matthew Rocklin, Tyler J. Alumbaugh, Andy R. Terrel:
Blaze: Building A Foundation for Array-Oriented Computing in Python. 94-97 - John A. ZuHone
, Veronica Biffi, Eric J. Hallman, Scott W. Randall, Adam R. Foster, Christian Schmid:
Simulating X-ray Observations with Python. 98-
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