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ORCID19th SciPy 2020, Virtual Conference
- Meghann Agarwal, Chris Calloway
, Dillon Niederhut, David Shupe:
Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6 - July 12, 2020. scipy.org 2020 - Meghann Agarwal, Julie Hollek, Dillon Niederhut:
Preface. 1- - Haw-minn Lu, Adrian Kwong, José Unpingco:
Securing Your Collaborative Jupyter Notebooks in the Cloud using Container and Load Balancing Services. 2-10 - Haw-minn Lu:
Quasi-orthonormal Encoding for Machine Learning Applications. 11-17 - Antoine Dujardin, Elliott Slaughter, Jeffrey Donatelli, Peter Zwart, Amedeo Perazzo, Chun Hong Yoon:
Fluctuation X-ray Scattering real-time app. 18-23 - Brandon L. Butler, Vyas Ramasubramani, Joshua A. Anderson, Sharon C. Glotzer:
HOOMD-blue version 3.0 A Modern, Extensible, Flexible, Object-Oriented API for Molecular Simulations. 24-31 - Aditya Bhosale, Prabhu Ramachandran:
Compyle: a Python package for parallel computing. 32-39 - Dallin Skouson, Andrew M. Keller, Michael J. Wirthlin:
Netlist Analysis and Transformations Using SpyDrNet. 40-47 - Nina 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:
Introduction to Geometric Learning in Python with Geomstats. 48-57 - Giancarlo Perrone, José Unpingco, Haw-minn Lu:
Network visualizations with Pyvis and VisJS. 58-62 - Henry Schreiner, Hans Dembinski, Shuo Liu, Jim Pivarski:
Boost-histogram: High-Performance Histograms as Objects. 63-69 - Jacob Montiel:
Learning from evolving data streams. 70-77 - Jim Pivarski, Ianna Osborne, Pratyush Das, Anish Biswas, Peter Elmer:
Awkward Array: JSON-like data, NumPy-like idioms. 78-84 - Valeria Barra, Jed Brown, Jeremy L. Thompson, Yohann Dudouit:
High-performance operator evaluations with ease of use: libCEED's Python interface. 85-90 - Marcus 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:
Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular Pathology. 91-97 - Mark A. Wickert, David W. Peckham:
Matched Filter Mismatch Losses in MPSK and MQAM Using Semi-Analytic BEP Modeling. 98-106 - Maurice Jamieson, Nick Brown, Sihang Liu:
Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePython. 107-115 - Niels Bantilan:
pandera: Statistical Data Validation of Pandas Dataframes. 116-124 - Oney Erge, Eric van Oort:
Combining Physics-Based and Data-Driven Modeling for Pressure Prediction in Well Construction. 125-131 - Dorota Jarecka, Mathias Goncalves, Christopher J. Markiewicz, Oscar Esteban, Nicole Lo, Jakub Kaczmarzyk, Satrajit S. Ghosh:
Pydra - a flexible and lightweight dataflow engine for scientific analyses. 132-139 - Ralph Kube, Randy Michael Churchill, Jong Youl Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun J. Choi, Jinseop Park:
Leading magnetic fusion energy science into the big-and-fast data lane. 140-147 - Ryan W. Bunney, Andreas Wicenec, Mark Reynolds:
SHADOW: A workflow scheduling algorithm reference and testing framework. 148-155 - Sebastian Benthall, Mridul Seth:
Software Engineering as Research Method: Aligning Roles in Econ-ARK. 156-161 - Zac Hatfield-Dodds:
Falsify your Software: validating scientific code with property-based testing. 162-165 - Meekail Zain, Sonia Rao, Nathan Safir, Quinn Wyner, Isabella Humphrey, Alex Eldridge, Chenxiao Li, BahaaEddin AlAila, Shannon Quinn:
Towards an Unsupervised Spatiotemporal Representation of Cilia Video Using A Modular Generative Pipeline. 166-
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