Proceedings of the 21st Python in Science Conference (SciPy 2022)
Meghann Agarwal, Chris Calloway, Dillon Niederhut, David Shupe
July 11 - July 17
Austin, Texas
10.25080/majora-212e5952-046
Organizers | Posters and Slides | Sponsored Students
Articles
The Advanced Scientific Data Format (ASDF): An Update
1
Semi-Supervised Semantic Annotator (S3A): Toward Efficient Semantic Labeling
7
Galyleo: A General-Purpose Extensible Visualization Solution
13
USACE Coastal Engineering Toolkit and a Method of Creating a Web-Based Application
22
Search for Extraterrestrial Intelligence: GPU Accelerated TurboSETI
26
Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
28
atoMEC: An open-source average-atom Python code
37
Automatic random variate generation in Python
46
The myth of the normal curve and what to do about it
64
Python for Global Applications: teaching scientific Python in context to law and diplomacy students
69
Papyri: better documentation for the scientific ecosystem in Jupyter
75
Bayesian Estimation and Forecasting of Time Series in statsmodels
83
Python vs. the pandemic: a case study in high-stakes software development
90
Pylira: deconvolution of images in the presence of Poisson noise
98
Codebraid Preview for VS Code: Pandoc Markdown Preview with Jupyter Kernels
105
Awkward Packaging: building Scikit-HEP
115
Keeping your Jupyter notebook code quality bar high (and production ready) with Ploomber
121
Likeness: a toolkit for connecting the social fabric of place to human dynamics
125
poliastro: a Python library for interactive astrodynamics
136
A New Python API for Webots Robotics Simulations
147
pyAudioProcessing: Audio Processing, Feature Extraction, and Machine Learning Modeling
152
Phylogeography: Analysis of genetic and climatic data of SARS-CoV-2
159
Global optimization software library for research and education
167
Temporal Word Embeddings Analysis for Disease Prevention
171
Design of a Scientific Data Analysis Support Platform
179
popmon: Analysis Package for Dataset Shift Detection
194
Wailord: Parsers and Reproducibility for Quantum Chemistry
226
Variational Autoencoders For Semi-Supervised Deep Metric Learning
231
A Python Pipeline for Rapid Application Development (RAD)
240
Monaco: A Monte Carlo Library for Performing Uncertainty and Sensitivity Analyses
244
Enabling Active Learning Pedagogy and Insight Mining with a Grammar of Model Analysis
251