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