Abstract is missing.
- Fitting Human Decision Making Models using PythonAlejandro J. Weinstein, Wael El-Deredy, Stéren Chabert, Myriam Fuentes. 1-6 [doi]
- Functional Uncertainty Constrained by Law and ExperimentAndrew M. Fraser, Stephen A. Andrews. 7-14 [doi]
- Composable Multi-Threading for Python LibrariesAnton Malakhov. 15-19 [doi]
- Generalized earthquake classificationBen Lasscock. 20-26 [doi]
- cesium: Open-Source Platform for Time-Series InferenceBrett Naul, Stéfan van der Walt, Arien Crellin-Quick, Joshua S. Bloom, Fernando Pérez. 27-35 [doi]
- UConnRCMPy: Python-based data analysis for Rapid Compression MachinesBryan W. Weber, Chih-Jen Sung. 36-44 [doi]
- Storing Reproducible Results from Computational Experiments using Scientific Python PackagesChristian Schou Oxvig, Thomas Arildsen, Torben Larsen. 45-50 [doi]
- datreant: persistent, Pythonic trees for heterogeneous dataDavid L. Dotson, Sean L. Seyler, Max Linke, Richard J. Gowers, Oliver Beckstein. 51-56 [doi]
- Comparison of machine learning methods applied to birdsong element classificationDavid Nicholson. 57-68 [doi]
- The Climate Modelling ToolkitJoy Merwin Monteiro, Rodrigo Caballero. 69-74 [doi]
- Tell Me Something I Don't Know: Analyzing OkCupid ProfilesJuan Shishido, Jaya Narasimhan, Matar Haller. 75-81 [doi]
- PyTeCK: a Python-based automatic testing package for chemical kinetic modelsKyle E. Niemeyer. 82-89 [doi]
- Linting science prose and the science of prose lintingMichael D. Pacer, Jordan W. Suchow. 90-97 [doi]
- MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics SimulationsRichard 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. 98-105 [doi]
- Validating Function Arguments in Python Signal Processing ApplicationsPatrick Steffen Pedersen, Christian Schou Oxvig, Jan Østergaard, Torben Larsen. 106-113 [doi]
- Spreading the Adoption of Python in India: the FOSSEE Python ProjectPrabhu Ramachandran. 114-121 [doi]
- PySPH: a reproducible and high-performance framework for smoothed particle hydrodynamicsPrabhu Ramachandran. 122-129 [doi]
- An Ecological Approach to Software Supply Chain Risk ManagementSebastian Benthall, Travis Pinney, J. C. Herz, Kit Plummer. 130-136 [doi]
- Launching Python Applications on Peta-scale Massively Parallel SystemsYu Feng, Nick Hand. 137 [doi]