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ORCID21st SciPy 2022, Austin, Texas
- Meghann Agarwal, Chris Calloway
, Dillon Niederhut, David Shupe:
Proceedings of the 21st Python in Science Conference 2022, SciPy 2022, Austin, Texas, July 11 - July 17, 2022. scipy.org 2022 - Perry Greenfield, Edward Slavich, William Jamieson, Nadia Dencheva:
The Advanced Scientific Data Format (ASDF): An Update. 1-6 - Nathan Jessurun, Daniel E. Capecci, Olivia P. Dizon-Paradis, Damon L. Woodard, Navid Asadizanjani:
Semi-Supervised Semantic Annotator (S3A): Toward Efficient Semantic Labeling. 7-12 - Rick McGeer, Andreas Bergen, Mahdiyar Biazi, Matt Hemmings, Robin Schreiber:
Galyleo: A General-Purpose Extensible Visualization Solution. 13-21 - Amanda Catlett, Theresa R. Coumbe, Scott D. Christensen, Mary A. Byrant:
USACE Coastal Engineering Toolkit and a Method of Creating a Web-Based Application. 22-25 - Luigi Cruz, Wael Farah, Richard Elkins:
Search for Extraterrestrial Intelligence: GPU Accelerated TurboSETI. 26-27 - Pi-Yueh Chuang, Lorena A. Barba:
Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration. 28-36 - Timothy J. Callow, Daniel Kotik, Eli Kraisler, Attila Cangi:
atoMEC: An open-source average-atom Python code. 37-45 - Christoph Baumgarten, Tirth Patel:
Automatic random variate generation in Python. 46-51 - Alexandr Fonari, Farshad Fallah, Michael Rauch:
Utilizing SciPy and other open source packages to provide a powerful API for materials manipulation in the Schrödinger Materials Suite. 52-59 - Seyed Alireza Vaezi, Gianni Orlando, Mojtaba Sedigh Fazli, Gary E. Ward, Silvia N. J. Moreno, Shannon Quinn:
A Novel Pipeline for Cell Instance Segmentation, Tracking and Motility Classification of Toxoplasma Gondii in 3D Space. 60-63 - Allan Campopiano:
The myth of the normal curve and what to do about it. 64-68 - Anna Haensch, Karin Knudson:
Python for Global Applications: teaching scientific Python in context to law and diplomacy students. 69-74 - Matthias Bussonnier, Camille Carvalho:
Papyri: better documentation for the scientific ecosystem in Jupyter. 75-82 - Chad Fulton:
Bayesian Estimation and Forecasting of Time Series in statsmodels. 83-89 - Cliff C. Kerr, Robyn M. Stuart, Dina Mistry, Romesh G. Abeysuriya, Jamie A. Cohen, Lauren George, Michal Jastrzebski, Michael Famulare, Edward A. Wenger, Daniel J. Klein:
Python vs. the pandemic: a case study in high-stakes software development. 90-97 - Axel Donath, Aneta Siemiginowska, Vinay L. Kashyap, Douglas Burke, Karthik Reddy Solipuram, David A. Van Dyk:
Pylira: deconvolution of images in the presence of Poisson noise. 98-104 - Geoffrey M. Poore:
Codebraid Preview for VS Code: Pandoc Markdown Preview with Jupyter Kernels. 105-109 - Curtis Godwin, Meekail Zain, Nathan Safir, Bella Humphrey, Shannon P. Quinn:
Incorporating Task-Agnostic Information in Task-Based Active Learning Using a Variational Autoencoder. 110-114 - Henry Schreiner, Jim Pivarski, Eduardo Rodrigues:
Awkward Packaging: building Scikit-HEP. 115-120 - Ido Michael:
Keeping your Jupyter notebook code quality bar high (and production ready) with Ploomber. 121-124 - Joseph V. Tuccillo, James D. Gaboardi:
Likeness: a toolkit for connecting the social fabric of place to human dynamics. 125-135 - Juan Luis Cano Rodríguez, Jorge Martínez Garrido:
poliastro: a Python library for interactive astrodynamics. 136-146 - Justin C. Fisher:
A New Python API for Webots Robotics Simulations. 147-151 - Jyotika Singh:
pyAudioProcessing: Audio Processing, Feature Extraction, and Machine Learning Modeling. 152-158 - Aleksandr Koshkarov, Wanlin Li, My-Linh Luu, Nadia Tahiri:
Phylogeography: Analysis of genetic and climatic data of SARS-CoV-2. 159-166 - Nadia Udler:
Global optimization software library for research and education. 167-170 - Nathan Jacobi, Ivan Mo, Albert You, Krishi Kishore, Zane Page, Shannon P. Quinn, Tim Heckman:
Temporal Word Embeddings Analysis for Disease Prevention. 171-178 - Nathan Martindale, Jason M. Hite, Scott Stewart, Mark B. Adams:
Design of a Scientific Data Analysis Support Platform. 179-186 - Orhan Eroglu, Anissa Zacharias, Michaela Sizemore, Alea Kootz, Heather Craker, John P. Clyne:
The Geoscience Community Analysis Toolkit: An Open Development, Community Driven Toolkit in the Scientific Python Ecosystem. 187-193 - Simon Brugman, Tomas Sostak, Pradyot Patil, Max Baak:
popmon: Analysis Package for Dataset Shift Detection. 194-201 - Willy Menacho, Gonzalo Marcelo Ramírez-Ávila, Horacio V. Guzman:
pyDAMPF: a Python package for modeling mechanical properties of hygroscopic materials under interaction with a nanoprobe. 202-209 - Robert Jackson, Rebecca Gjini, Sri Hari Krishna Narayanan, Matt Menickelly, Paul D. Hovland, Jan Hückelheim, Scott M. Collis:
Improving PyDDA's atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methods. 210-216 - João Lemes Gribel Soares, Mateus Stano Junqueira, Oscar Mauricio Prada Ramirez, Patrick Sampaio dos Santos Brandão, Adriano Augusto Antongiovanni, Guilherme Fernandes Alves, Giovani Hidalgo Ceotto:
RocketPy: Combining Open-Source and Scientific Libraries to Make the Space Sector More Modern and Accessible. 217-225 - Rohit Goswami:
Wailord: Parsers and Reproducibility for Quantum Chemistry. 226-230 - Nathan Safir, Meekail Zain, Curtis Godwin, Eric Miller, Bella Humphrey, Shannon P. Quinn:
Variational Autoencoders For Semi-Supervised Deep Metric Learning. 231-239 - Scott D. Christensen, Marvin S. Brown, Robert B. Haehnel, Joshua Church, Amanda Catlett, Dallon C. Schofield, Quyen T. Brannon, Stacy T. Smith:
A Python Pipeline for Rapid Application Development (RAD). 240-243 - W. Scott Shambaugh:
Monaco: A Monte Carlo Library for Performing Uncertainty and Sensitivity Analyses. 244-250 - Zachary del Rosario:
Enabling Active Learning Pedagogy and Insight Mining with a Grammar of Model Analysis. 251-258 - Meekail Zain, Eric Miller, Shannon P. Quinn, Cecilia W. Lo:
Low Level Feature Extraction for Cilia Segmentation. 259-
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