ProceedingsSciPy ProceedingsProceedings of the 23rd Python in Science ConferenceContent License: Creative Commons Attribution 4.0 International (CC-BY-4.0)Credit must be given to the creatorProceedings of the 23rd Python in Science ConferenceSciPy 2024, Tacoma, Washington July 8 - July 14Meghann AgarwalAmey AmbadeChris CallowayRowan CockettSanhita JoshiCharles LindseyHongsup ShinJuly 10, 2024https://doi.org/10.25080/DTVR3553Download PDFSupporting DocumentsOrganizationPosters and SlidesSponsored StudentsAccepted Papers¶multinterpmultinterpAlan Lujanhttps://doi.org/10.25080/FGCJ9164Mandala: Compositional Memoization for Simple & Powerful Scientific Data ManagementMandala: Compositional Memoization for Simple & Powerful Scientific Data ManagementAleksandar Makelovhttps://doi.org/10.25080/JHPV7385Training a Supervised Cilia Segmentation Model from Self-SupervisionTraining a Supervised Cilia Segmentation Model from Self-SupervisionSeyed Alireza Vaezi, Shannon Quinnhttps://doi.org/10.25080/HXCJ6205Computational Resource Optimisation in Feature Selection under Class Imbalance ConditionsComputational Resource Optimisation in Feature Selection under Class Imbalance ConditionsAmadi Gabriel Udu, Andrea Lecchini-Visintini, Steve R. Gunn, +3https://doi.org/10.25080/TPGN6857Algorithms to Determine Asteroid’s Physical Properties using Sparse and Dense Photometry, Robotic Telescopes and Open DataAlgorithms to Determine Asteroid’s Physical Properties using Sparse and Dense Photometry, Robotic Telescopes and Open DataArushi Nathhttps://doi.org/10.25080/TWCF2755AI-Driven Watermarking Technique for Safeguarding Text Integrity in the Digital AgeAI-Driven Watermarking Technique for Safeguarding Text Integrity in the Digital AgeAtharva Rasanehttps://doi.org/10.25080/DHKD1726Evaluating Probabilistic Forecasters with sktime and tsbootstrap — Easy-to-Use, Configurable Frameworks for Reproducible ScienceEvaluating Probabilistic Forecasters with sktime and tsbootstrap — Easy-to-Use, Configurable Frameworks for Reproducible ScienceBenedikt Heidrich, Sankalp Gilda, Franz Kiralyhttps://doi.org/10.25080/VPNX1595Voice Computing with Python in Jupyter NotebooksVoice Computing with Python in Jupyter NotebooksBlaine H. M. Mooershttps://doi.org/10.25080/MCYV2126Predx-ToolsPredx-ToolsBrian Falkenstein, Shannon Quinn, Chakra Chennubhotla, +2https://doi.org/10.25080/YCFW5807Improving Code Quality with Array and DataFrame Type HintsImproving Code Quality with Array and DataFrame Type HintsChristopher Arizahttps://doi.org/10.25080/WPXM6451Continuous Tools for Scientific PublishingContinuous Tools for Scientific PublishingRowan Cockett, Steve Purves, Franklin Koch, +1https://doi.org/10.25080/NKVC9349geosnap: The Geospatial Neighborhood Analysis Packagegeosnap: The Geospatial Neighborhood Analysis PackageElijah Knaap, Sergio Reyhttps://doi.org/10.25080/FVWM4182Cyanobacteria detection in small, inland water bodies with CyFiCyanobacteria detection in small, inland water bodies with CyFiEmily Dorne, Katie Wetstone, Trista Brophy Cerquera, +1https://doi.org/10.25080/PDHK7238Funix - The laziest way to build GUI apps in PythonFunix - The laziest way to build GUI apps in PythonForrest Sheng Bao, Mike Qi, Ruixuan Tu, +1https://doi.org/10.25080/JFYN3740Ecological and Spatial Influences on the Genetics of Cumacea (Crustacea: Peracarida) in the Northern North AtlanticEcological and Spatial Influences on the Genetics of Cumacea (Crustacea: Peracarida) in the Northern North AtlanticJustin Gagnon, Nadia Tahirihttps://doi.org/10.25080/NVYF1037Model Share AIModel Share AIHeinrich Peters, Michael Parrotthttps://doi.org/10.25080/MDCE8355Scikit-build-coreScikit-build-coreHenry Schreiner, Jean-Christophe Fillion-Robin, Matt McCormickhttps://doi.org/10.25080/FMKR8387Making Research Data Flow With PythonMaking Research Data Flow With PythonJosh Borrow, Paul La Plante, James Aguirre, +1https://doi.org/10.25080/HWGA5253Any notebook served: authoring and sharing reusable interactive widgetsAny notebook served: authoring and sharing reusable interactive widgetsTrevor Manz, Nils Gehlenborg, Nezar Abdennurhttps://doi.org/10.25080/NRPV2311ITK-WasmITK-WasmMatthew McCormick, Paul Elliotthttps://doi.org/10.25080/TCFJ5130How the Scientific Python ecosystem helps answer fundamental questions of the UniverseHow the Scientific Python ecosystem helps answer fundamental questions of the UniverseMatthew Feickert, Nikolai Hartmann, Lukas Heinrich, +6https://doi.org/10.25080/KMXN4784Supporting Greater Interactivity in the IPython Visualization EcosystemSupporting Greater Interactivity in the IPython Visualization EcosystemNathan Martindale, Jacob Smith, Lisa Linvillehttps://doi.org/10.25080/GVHT1072Orchestrating Bioinformatics Workflows Across a Heterogeneous Toolset with FlyteOrchestrating Bioinformatics Workflows Across a Heterogeneous Toolset with FlytePryce Turnerhttps://doi.org/10.25080/DDJJ4932RoughPyRoughPySam Morley, Terry Lyonshttps://doi.org/10.25080/DXWY3560Mamba Models a possible replacement for Transformers?Mamba Models a possible replacement for Transformers?Suvrakamal Das, Rounak Sen, Saikrishna Devendiranhttps://doi.org/10.25080/XHDR4700THEIA: An Offline Tool for Tradespace VisualizationTHEIA: An Offline Tool for Tradespace VisualizationSamuel Williams, Scott Christensen, Marvin Brownhttps://doi.org/10.25080/RVRR7774Echodataflow: Recipe-based Fisheries Acoustics Workflow OrchestrationEchodataflow: Recipe-based Fisheries Acoustics Workflow OrchestrationValentina Staneva, Soham Butala, Landung (Don) Setiawan, +1https://doi.org/10.25080/JXDK4427Python-Based GeoImagery Dataset Development for Deep Learning-Driven Forest Wildfire DetectionPython-Based GeoImagery Dataset Development for Deep Learning-Driven Forest Wildfire DetectionValeria Martin, Derek Morgan, K. Brent Venablehttps://doi.org/10.25080/YADT7194Echostack: A flexible and scalable open-source software suite for echosounder data processingEchostack: A flexible and scalable open-source software suite for echosounder data processingWu-Jung Lee, Valentina Staneva, Landung “Don” Setiawan, +5https://doi.org/10.25080/WXRH8633Proceedings of the 23rd Python in Science ConferenceOrganization
