Proceedings of the 19th Python in Science Conference (SciPy 2020)
Meghann Agarwal, Chris Calloway, Dillon Niederhut, David Shupe
July 6 - July 12
Austin, Texas
10.25080/Majora-342d178e-02b
Organizers | Posters and Slides | Sponsored Students
Articles
Preface
1
Quasi-orthonormal Encoding for Machine Learning Applications
11
Fluctuation X-ray Scattering real-time app
18
HOOMD-blue version 3.0 A Modern, Extensible, Flexible, Object-Oriented API for Molecular Simulations
24
Compyle: a Python package for parallel computing
32
Netlist Analysis and Transformations Using SpyDrNet
40
Introduction to Geometric Learning in Python with Geomstats
48
Network visualizations with Pyvis and VisJS
58
Boost-histogram: High-Performance Histograms as Objects
63
Learning from evolving data streams
70
Awkward Array: JSON-like data, NumPy-like idioms
78
High-performance operator evaluations with ease of use: libCEED's Python interface
85
Matched Filter Mismatch Losses in MPSK and MQAM Using Semi-Analytic BEP Modeling
98
pandera: Statistical Data Validation of Pandas Dataframes
116
Combining Physics-Based and Data-Driven Modeling for Pressure Prediction in Well Construction
125
Pydra - a flexible and lightweight dataflow engine for scientific analyses
132
Leading magnetic fusion energy science into the big-and-fast data lane
140
SHADOW: A workflow scheduling algorithm reference and testing framework
148
Software Engineering as Research Method: Aligning Roles in Econ-ARK
156
Falsify your Software: validating scientific code with property-based testing
162