Abstract is missing.
- PrefaceMeghann Agarwal, Julie Hollek, Dillon Niederhut. 1 [doi]
- Securing Your Collaborative Jupyter Notebooks in the Cloud using Container and Load Balancing ServicesHaw-minn Lu, Adrian Kwong, José Unpingco. 2-10 [doi]
- Quasi-orthonormal Encoding for Machine Learning ApplicationsHaw-minn Lu. 11-17 [doi]
- Fluctuation X-ray Scattering real-time appAntoine Dujardin, Elliott Slaugther, Jeffrey Donatelli, Peter Zwart, Amedeo Perazzo, Chun Hong Yoon. 18-23 [doi]
- HOOMD-blue version 3.0 A Modern, Extensible, Flexible, Object-Oriented API for Molecular SimulationsBrandon L. Butler, Vyas Ramasubramani, Joshua A. Anderson, Sharon C. Glotzer. 24-31 [doi]
- Compyle: a Python package for parallel computingAditya Bhosale, Prabhu Ramachandran. 32-39 [doi]
- Netlist Analysis and Transformations Using SpyDrNetDallin Skouson, Andrew M. Keller, Michael J. Wirthlin. 40-47 [doi]
- Introduction to Geometric Learning in Python with GeomstatsNina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec. 48-57 [doi]
- Network visualizations with Pyvis and VisJSGiancarlo Perrone, José Unpingco, Haw-minn Lu. 58-62 [doi]
- Boost-histogram: High-Performance Histograms as ObjectsHenry Schreiner, Hans Dembinski, Shuo Liu, Jim Pivarski. 63-69 [doi]
- Learning from evolving data streamsJacob Montiel. 70-77 [doi]
- Awkward Array: JSON-like data, NumPy-like idiomsJim Pivarski, Ianna Osborne, Pratyush Das, Anish Biswas, Peter Elmer. 78-84 [doi]
- High-performance operator evaluations with ease of use: libCEED's Python interfaceValeria Barra, Jed Brown, Jeremy L. Thompson, Yohann Dudouit. 85-90 [doi]
- Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular PathologyMarcus Hill, Mojtaba Sedigh Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Allyson T. Loy, Barbara Reaves, Abigail Courtney, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn. 91-97 [doi]
- Matched Filter Mismatch Losses in MPSK and MQAM Using Semi-Analytic BEP ModelingMark A. Wickert, David W. Peckham. 98-106 [doi]
- Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePythonMaurice Jamieson, Nick Brown 0002, Sihang Liu. 107-115 [doi]
- pandera: Statistical Data Validation of Pandas DataframesNiels Bantilan. 116-124 [doi]
- Combining Physics-Based and Data-Driven Modeling for Pressure Prediction in Well ConstructionOney Erge, Eric van Oort. 125-131 [doi]
- Pydra - a flexible and lightweight dataflow engine for scientific analysesDorota Jarecka, Mathias Goncalves, Christopher J. Markiewicz, Oscar Esteban, Nicole Lo, Jakub Kaczmarzyk, Satrajit S. Ghosh. 132-139 [doi]
- Leading magnetic fusion energy science into the big-and-fast data laneRalph Kube, Randy Michael Churchill, Jong Youl Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun J. Choi, Jinseop Park. 140-147 [doi]
- SHADOW: A workflow scheduling algorithm reference and testing frameworkRyan W. Bunney, Andreas Wicenec, Mark Reynolds. 148-155 [doi]
- Software Engineering as Research Method: Aligning Roles in Econ-ARKSebastian Benthall, Mridul Seth. 156-161 [doi]
- Falsify your Software: validating scientific code with property-based testingZac Hatfield-Dodds. 162-165 [doi]
- Towards an Unsupervised Spatiotemporal Representation of Cilia Video Using A Modular Generative PipelineMeekail Zain, Sonia Rao, Nathan Safir, Quinn Wyner, Isabella Humphrey, Alex Eldridge, Chenxiao Li, BahaaEddin AlAila, Shannon Quinn. 166 [doi]