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ORCID15th SciPy 2016, Austin, Texas
- Sebastian Benthall, Scott Rostrup:
Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11 - July 17, 2016. scipy.org 2016 - Alejandro J. Weinstein, Wael El-Deredy, Stéren Chabert, Myriam Fuentes:
Fitting Human Decision Making Models using Python. 1-6 - Andrew M. Fraser, Stephen A. Andrews:
Functional Uncertainty Constrained by Law and Experiment. 7-14 - Anton A. Malakhov
:
Composable Multi-Threading for Python Libraries. 15-19 - Ben Lasscock:
Generalized earthquake classification. 20-26 - Brett Naul, Stéfan van der Walt, Arien Crellin-Quick, Joshua S. Bloom, Fernando Pérez:
cesium: Open-Source Platform for Time-Series Inference. 27-35 - Bryan W. Weber, Chih-Jen Sung:
UConnRCMPy: Python-based data analysis for Rapid Compression Machines. 36-44 - Christian Schou Oxvig, Thomas Arildsen, Torben Larsen:
Storing Reproducible Results from Computational Experiments using Scientific Python Packages. 45-50 - David L. Dotson, Sean L. Seyler, Max Linke, Richard J. Gowers, Oliver Beckstein:
datreant: persistent, Pythonic trees for heterogeneous data. 51-56 - David Nicholson:
Comparison of machine learning methods applied to birdsong element classification. 57-68 - Joy Merwin Monteiro, Rodrigo Caballero:
The Climate Modelling Toolkit. 69-74 - Juan Shishido, Jaya Narasimhan, Matar Haller:
Tell Me Something I Don't Know: Analyzing OkCupid Profiles. 75-81 - Kyle E. Niemeyer:
PyTeCK: a Python-based automatic testing package for chemical kinetic models. 82-89 - Michael D. Pacer, Jordan W. Suchow:
Linting science prose and the science of prose linting. 90-97 - Richard J. Gowers, Max Linke, Jonathan Barnoud, Tyler J. E. Reddy, Manuel N. Melo, Sean L. Seyler, Jan J. Domanski, David L. Dotson, Sébastien Buchoux, Ian M. Kenney, Oliver Beckstein:
MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations. 98-105 - Patrick Steffen Pedersen, Christian Schou Oxvig, Jan Østergaard, Torben Larsen:
Validating Function Arguments in Python Signal Processing Applications. 106-113 - Prabhu Ramachandran:
Spreading the Adoption of Python in India: the FOSSEE Python Project. 114-121 - Prabhu Ramachandran:
PySPH: a reproducible and high-performance framework for smoothed particle hydrodynamics. 122-129 - Sebastian Benthall, Travis Pinney, J. C. Herz, Kit Plummer:
An Ecological Approach to Software Supply Chain Risk Management. 130-136 - Yu Feng, Nick Hand:
Launching Python Applications on Peta-scale Massively Parallel Systems. 137-
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