ProceedingsSciPy ProceedingsContent License: Creative Commons Attribution 3.0 Unported (CC-BY-3.0)Credit must be given to the creatorProceedings of the 21st Python in Science ConferenceSciPy 2022, Austin, Texas July 11 - July 17July 11, 2022https://doi.org/10.25080/majora-212e5952-046Download PDFDownload BibtexSupporting DocumentsOrganizationPosters and SlidesSponsored StudentsAccepted Papers¶The Advanced Scientific Data Format (ASDF): An UpdateThe Advanced Scientific Data Format (ASDF): An UpdatePerry Greenfield, Edward Slavich, William Jamieson, +1https://doi.org/10.25080/majora-212e5952-000Semi-Supervised Semantic Annotator (S3A): Toward Efficient Semantic LabelingSemi-Supervised Semantic Annotator (S3A): Toward Efficient Semantic LabelingNathan Jessurun, Daniel Capecci, Olivia Dizon-Paradis, +2https://doi.org/10.25080/majora-212e5952-001Galyleo: A General-Purpose Extensible Visualization SolutionGalyleo: A General-Purpose Extensible Visualization SolutionRick McGeer, Andreas Bergen, Mahdiyar Biazi, +2https://doi.org/10.25080/majora-212e5952-002USACE Coastal Engineering Toolkit and a Method of Creating a Web-Based ApplicationUSACE Coastal Engineering Toolkit and a Method of Creating a Web-Based ApplicationAmanda Catlett, Theresa Coumbe, Scott Christensen, +1https://doi.org/10.25080/majora-212e5952-003Search for Extraterrestrial Intelligence: GPU Accelerated TurboSETISearch for Extraterrestrial Intelligence: GPU Accelerated TurboSETILuigi Cruz, Wael Farah, Richard Elkinshttps://doi.org/10.25080/majora-212e5952-004Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustrationExperience report of physics-informed neural networks in fluid simulations: pitfalls and frustrationPi-Yueh Chuang, Lorena Barbahttps://doi.org/10.25080/majora-212e5952-005atoMEC: An open-source average-atom Python codeatoMEC: An open-source average-atom Python codeTimothy Callow, Daniel Kotik, Eli Kraisler, +1https://doi.org/10.25080/majora-212e5952-006Automatic random variate generation in PythonAutomatic random variate generation in PythonChristoph Baumgarten, Tirth Patelhttps://doi.org/10.25080/majora-212e5952-007Utilizing SciPy and other open source packages to provide a powerful API for materials manipulation in the Schrödinger Materials SuiteUtilizing SciPy and other open source packages to provide a powerful API for materials manipulation in the Schrödinger Materials SuiteAlexandr Fonari, Farshad Fallah, Michael Rauchhttps://doi.org/10.25080/majora-212e5952-008A Novel Pipeline for Cell Instance Segmentation, Tracking and Motility Classification of Toxoplasma Gondii in 3D SpaceA Novel Pipeline for Cell Instance Segmentation, Tracking and Motility Classification of Toxoplasma Gondii in 3D SpaceSeyed Vaezi, Gianni Orlando, Mojtaba Fazli, +3https://doi.org/10.25080/majora-212e5952-009The myth of the normal curve and what to do about itThe myth of the normal curve and what to do about itAllan Campopianohttps://doi.org/10.25080/majora-212e5952-00aPython for Global Applications: teaching scientific Python in context to law and diplomacy studentsPython for Global Applications: teaching scientific Python in context to law and diplomacy studentsAnna Haensch, Karin Knudsonhttps://doi.org/10.25080/majora-212e5952-00bPapyri: better documentation for the scientific ecosystem in JupyterPapyri: better documentation for the scientific ecosystem in JupyterMatthias Bussonnier, Camille Carvalhohttps://doi.org/10.25080/majora-212e5952-00cBayesian Estimation and Forecasting of Time Series in statsmodelsBayesian Estimation and Forecasting of Time Series in statsmodelsChad Fultonhttps://doi.org/10.25080/majora-212e5952-00dPython vs. the pandemic: a case study in high-stakes software developmentPython vs. the pandemic: a case study in high-stakes software developmentCliff Kerr, Robyn Stuart, Dina Mistry, +7https://doi.org/10.25080/majora-212e5952-00ePylira: deconvolution of images in the presence of Poisson noisePylira: deconvolution of images in the presence of Poisson noiseAxel Donath, Aneta Siemiginowska, Vinay Kashyap, +3https://doi.org/10.25080/majora-212e5952-00fCodebraid Preview for VS Code: Pandoc Markdown Preview with Jupyter KernelsCodebraid Preview for VS Code: Pandoc Markdown Preview with Jupyter KernelsGeoffrey Poorehttps://doi.org/10.25080/majora-212e5952-010Incorporating Task-Agnostic Information in Task-Based Active Learning Using a Variational AutoencoderIncorporating Task-Agnostic Information in Task-Based Active Learning Using a Variational AutoencoderCurtis Godwin, Meekail Zain, Nathan Safir, +2https://doi.org/10.25080/majora-212e5952-011Awkward Packaging: building Scikit-HEPAwkward Packaging: building Scikit-HEPHenry Schreiner, Jim Pivarski, Eduardo Rodrigueshttps://doi.org/10.25080/majora-212e5952-012Keeping your Jupyter notebook code quality bar high (and production ready) with PloomberKeeping your Jupyter notebook code quality bar high (and production ready) with PloomberIdo Michaelhttps://doi.org/10.25080/majora-212e5952-013Likeness: a toolkit for connecting the social fabric of place to human dynamicsLikeness: a toolkit for connecting the social fabric of place to human dynamicsJoseph Tuccillo, James Gaboardihttps://doi.org/10.25080/majora-212e5952-014poliastro: a Python library for interactive astrodynamicspoliastro: a Python library for interactive astrodynamicsJuan Rodríguez, Jorge Garridohttps://doi.org/10.25080/majora-212e5952-015A New Python API for Webots Robotics SimulationsA New Python API for Webots Robotics SimulationsJustin Fisherhttps://doi.org/10.25080/majora-212e5952-016pyAudioProcessing: Audio Processing, Feature Extraction, and Machine Learning ModelingpyAudioProcessing: Audio Processing, Feature Extraction, and Machine Learning ModelingJyotika Singhhttps://doi.org/10.25080/majora-212e5952-017Phylogeography: Analysis of genetic and climatic data of SARS-CoV-2Phylogeography: Analysis of genetic and climatic data of SARS-CoV-2Aleksandr Koshkarov, Wanlin Li, My-Linh Luu, +1https://doi.org/10.25080/majora-212e5952-018Global optimization software library for research and educationGlobal optimization software library for research and educationNadia Udlerhttps://doi.org/10.25080/majora-212e5952-019Temporal Word Embeddings Analysis for Disease PreventionTemporal Word Embeddings Analysis for Disease PreventionNathan Jacobi, Ivan Mo, Albert You, +4https://doi.org/10.25080/majora-212e5952-01aDesign of a Scientific Data Analysis Support PlatformDesign of a Scientific Data Analysis Support PlatformNathan Martindale, Jason Hite, Scott Stewart, +1https://doi.org/10.25080/majora-212e5952-01bThe Geoscience Community Analysis Toolkit: An Open Development, Community Driven Toolkit in the Scientific Python EcosystemThe Geoscience Community Analysis Toolkit: An Open Development, Community Driven Toolkit in the Scientific Python EcosystemOrhan Eroglu, Anissa Zacharias, Michaela Sizemore, +3https://doi.org/10.25080/majora-212e5952-01cpopmon: Analysis Package for Dataset Shift Detectionpopmon: Analysis Package for Dataset Shift DetectionSimon Brugman, Tomas Sostak, Pradyot Patil, +1https://doi.org/10.25080/majora-212e5952-01dpyDAMPF: a Python package for modeling mechanical properties of hygroscopic materials under interaction with a nanoprobepyDAMPF: a Python package for modeling mechanical properties of hygroscopic materials under interaction with a nanoprobeWilly Menacho, Gonzalo Ramírez-Ávila, Horacio Guzmanhttps://doi.org/10.25080/majora-212e5952-01eImproving PyDDA’s atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methodsImproving PyDDA’s atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methodsRobert Jackson, Rebecca Gjini, Sri Narayanan, +4https://doi.org/10.25080/majora-212e5952-01fRocketPy: Combining Open-Source and Scientific Libraries to Make the Space Sector More Modern and AccessibleRocketPy: Combining Open-Source and Scientific Libraries to Make the Space Sector More Modern and AccessibleJoão Soares, Mateus Junqueira, Oscar Ramirez, +4https://doi.org/10.25080/majora-212e5952-020Wailord: Parsers and Reproducibility for Quantum ChemistryWailord: Parsers and Reproducibility for Quantum ChemistryRohit Goswamihttps://doi.org/10.25080/majora-212e5952-021Variational Autoencoders For Semi-Supervised Deep Metric LearningVariational Autoencoders For Semi-Supervised Deep Metric LearningNathan Safir, Meekail Zain, Curtis Godwin, +3https://doi.org/10.25080/majora-212e5952-022A Python Pipeline for Rapid Application Development (RAD)A Python Pipeline for Rapid Application Development (RAD)Scott Christensen, Marvin Brown, Robert Haehnel, +5https://doi.org/10.25080/majora-212e5952-023Monaco: A Monte Carlo Library for Performing Uncertainty and Sensitivity AnalysesMonaco: A Monte Carlo Library for Performing Uncertainty and Sensitivity AnalysesW. Shambaughhttps://doi.org/10.25080/majora-212e5952-024Enabling Active Learning Pedagogy and Insight Mining with a Grammar of Model AnalysisEnabling Active Learning Pedagogy and Insight Mining with a Grammar of Model AnalysisZachary del Rosariohttps://doi.org/10.25080/majora-212e5952-025Low Level Feature Extraction for Cilia SegmentationLow Level Feature Extraction for Cilia SegmentationMeekail Zain, Eric Miller, Shannon Quinn, +1https://doi.org/10.25080/majora-212e5952-026Proceedings of the 21st Python in Science ConferenceOrganization
