ProceedingsSciPy ProceedingsContent License: Creative Commons Attribution 3.0 Unported (CC-BY-3.0)Credit must be given to the creatorProceedings of the 22nd Python in Science ConferenceSciPy 2023, Austin, Texas July 10 - July 16July 10, 2023https://doi.org/10.25080/gerudo-f2bc6f59-039Download PDFDownload BibtexSupporting DocumentsOrganizationPosters and SlidesSponsored StudentsAccepted Papers¶Using Blosc2 NDim As A Fast Explorer Of The Milky Way (Or Any Other NDim Dataset)Using Blosc2 NDim As A Fast Explorer Of The Milky Way (Or Any Other NDim Dataset)Project Blosc, Francesc Alted, Marta Iborra, +3https://doi.org/10.25080/gerudo-f2bc6f59-000Python Array API Standard: Toward Array Interoperability in the Scientific Python EcosystemPython Array API Standard: Toward Array Interoperability in the Scientific Python EcosystemAaron Meurer, Athan Reines, Ralf Gommers, +15https://doi.org/10.25080/gerudo-f2bc6f59-001A Modified Strassen Algorithm to Accelerate Numpy Large Matrix Multiplication with Integer EntriesA Modified Strassen Algorithm to Accelerate Numpy Large Matrix Multiplication with Integer EntriesAnthony Breitzmanhttps://doi.org/10.25080/gerudo-f2bc6f59-002An Accessible Python based Author Identification ProcessAn Accessible Python based Author Identification ProcessAnthony Breitzmanhttps://doi.org/10.25080/gerudo-f2bc6f59-003Biomolecular Crystallographic Computing with JupyterBiomolecular Crystallographic Computing with JupyterBlaine Mooershttps://doi.org/10.25080/gerudo-f2bc6f59-004Bayesian Statistics with Python, No Resampling NecessaryBayesian Statistics with Python, No Resampling NecessaryCharles Lindseyhttps://doi.org/10.25080/gerudo-f2bc6f59-005Using Numba for GPU acceleration of Neutron Beamline Digital TwinsUsing Numba for GPU acceleration of Neutron Beamline Digital TwinsColeman Kendrick, Jiao Lin, Garrett Granrothhttps://doi.org/10.25080/gerudo-f2bc6f59-006EEG-to-fMRI Neuroimaging Cross Modal Synthesis in PythonEEG-to-fMRI Neuroimaging Cross Modal Synthesis in PythonDavid Calhashttps://doi.org/10.25080/gerudo-f2bc6f59-007vak: a neural network framework for researchers studying animal acoustic communicationvak: a neural network framework for researchers studying animal acoustic communicationDavid Nicholson, Yarden Cohenhttps://doi.org/10.25080/gerudo-f2bc6f59-008Emukit: A Python toolkit for decision making under uncertaintyEmukit: A Python toolkit for decision making under uncertaintyAndrei Paleyes, Maren Mahsereci, Neil Lawrencehttps://doi.org/10.25080/gerudo-f2bc6f59-009MDAKits: A Framework for FAIR-Compliant Molecular Simulation AnalysisMDAKits: A Framework for FAIR-Compliant Molecular Simulation AnalysisIrfan Alibay, Lily Wang, Fiona Naughton, +4https://doi.org/10.25080/gerudo-f2bc6f59-00aThe Pandata Scalable Open-Source Analysis StackThe Pandata Scalable Open-Source Analysis StackJames Bednar, Martin Duranthttps://doi.org/10.25080/gerudo-f2bc6f59-00bSpatial Microsimulation and Activity Allocation in Python: An Update on the Likeness ToolkitSpatial Microsimulation and Activity Allocation in Python: An Update on the Likeness ToolkitJoseph Tuccillo, James Gaboardihttps://doi.org/10.25080/gerudo-f2bc6f59-00citk-elastix: Medical image registration in Pythonitk-elastix: Medical image registration in PythonKonstantinos Ntatsis, Niels Dekker, Viktor van der Valk, +5https://doi.org/10.25080/gerudo-f2bc6f59-00dPyQtGraph - High Performance Visualization for All PlatformsPyQtGraph - High Performance Visualization for All PlatformsOgnyan Moore, Nathan Jessurun, Martin Chase, +2https://doi.org/10.25080/gerudo-f2bc6f59-00eaPhyloGeo-Covid: A Web Interface for Reproducible Phylogeographic Analysis of SARS-CoV-2 Variation using Neo4j and SnakemakeaPhyloGeo-Covid: A Web Interface for Reproducible Phylogeographic Analysis of SARS-CoV-2 Variation using Neo4j and SnakemakeWanlin Li, Nadia Tahirihttps://doi.org/10.25080/gerudo-f2bc6f59-00fPandera: Going Beyond Pandas Data ValidationPandera: Going Beyond Pandas Data ValidationNiels Bantilanhttps://doi.org/10.25080/gerudo-f2bc6f59-010libyt: a Tool for Parallel In Situ Analysis with ytlibyt: a Tool for Parallel In Situ Analysis with ytShin-Rong Tsai, Hsi-Yu Schive, Matthew Turkhttps://doi.org/10.25080/gerudo-f2bc6f59-011Data Reduction NetworkData Reduction NetworkHaoyin Xu, Haw-minn Lu, José Unpingcohttps://doi.org/10.25080/gerudo-f2bc6f59-012Proceedings of the 22nd Python in Science ConferenceOrganization
