Proceedings of the 19th Python in Science Conference
Accepted Papers¶
Preface
Meghann Agarwal, Julie Hollek, Dillon Niederhut
Securing Your Collaborative Jupyter Notebooks in the Cloud using Container and Load Balancing Services
Haw-minn Lu, Adrian Kwong, José Unpingco
Quasi-orthonormal Encoding for Machine Learning Applications
Haw-minn Lu
Fluctuation X-ray Scattering real-time app
Antoine Dujardin, Elliott Slaugther, Jeffrey Donatelli, Peter Zwart, Amedeo Perazzo, Chun Yoon
HOOMD-blue version 3.0 A Modern, Extensible, Flexible, Object-Oriented API for Molecular Simulations
Brandon Butler, Vyas Ramasubramani, Joshua Anderson, Sharon Glotzer
Compyle: a Python package for parallel computing
Aditya Bhosale, Prabhu Ramachandran
Netlist Analysis and Transformations Using SpyDrNet
Dallin Skouson, Andrew Keller, Michael Wirthlin
Introduction to Geometric Learning in Python with Geomstats
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 Holmes, Xavier Pennec
Network visualizations with Pyvis and VisJS
Giancarlo Perrone, Jose Unpingco, Haw-minn Lu
Boost-histogram: High-Performance Histograms as Objects
Henry Schreiner, Hans Dembinski, Shuo Liu, Jim Pivarski
Learning from evolving data streams
Jacob Montiel
Awkward Array: JSON-like data, NumPy-like idioms
Jim Pivarski, Ianna Osborne, Pratyush Das, Anish Biswas, Peter Elmer
High-performance operator evaluations with ease of use: libCEED’s Python interface
Valeria Barra, Jed Brown, Jeremy Thompson, Yohann Dudouit
Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular Pathology
Marcus Hill, Mojtaba Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Allyson Loy, Barbara Reaves, Abigail Courtney, Frederick Quinn, S Chennubhotla, Shannon Quinn
Matched Filter Mismatch Losses in MPSK and MQAM Using Semi-Analytic BEP Modeling
Mark Wickert, David Peckham
Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePython
Maurice Jamieson, Nick Brown, Sihang Liu
pandera: Statistical Data Validation of Pandas Dataframes
Niels Bantilan
Combining Physics-Based and Data-Driven Modeling for Pressure Prediction in Well Construction
Oney Erge, Eric van Oort
Pydra - a flexible and lightweight dataflow engine for scientific analyses
Dorota Jarecka, Mathias Goncalves, Christopher Markiewicz, Oscar Esteban, Nicole Lo, Jakub Kaczmarzyk, Satrajit Ghosh
Leading magnetic fusion energy science into the big-and-fast data lane
Ralph Kube, R Churchill, Jong Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun Choi, Jinseop Park
SHADOW: A workflow scheduling algorithm reference and testing framework
Ryan Bunney, Andreas Wicenec, Mark Reynolds
Software Engineering as Research Method: Aligning Roles in Econ-ARK
Sebastian Benthall, Mridul Seth
Falsify your Software: validating scientific code with property-based testing
Zac Hatfield-Dodds
Towards an Unsupervised Spatiotemporal Representation of Cilia Video Using A Modular Generative Pipeline
Meekail Zain, Sonia Rao, Nathan Safir, Quinn Wyner, Isabella Humphrey, Alex Eldridge, Chenxiao Li, BahaaEddin AlAila, Shannon Quinn