ProceedingsSciPy ProceedingsContent License: Creative Commons Attribution 3.0 Unported (CC-BY-3.0)Credit must be given to the creatorProceedings of the 17th Python in Science ConferenceSciPy 2018, Austin, Texas July 9 - July 15July 9, 2018https://doi.org/10.25080/Majora-4af1f417-018Download PDFDownload BibtexSupporting DocumentsOrganizationPosters and SlidesSponsored StudentsAccepted Papers¶Dynamic Social Network Modeling of Diffuse Subcellular MorphologiesDynamic Social Network Modeling of Diffuse Subcellular MorphologiesAndrew Durden, Allyson Loy, Barbara Reaves, +5https://doi.org/10.25080/Majora-4af1f417-000Cloudknot: A Python Library to Run your Existing Code on AWS BatchCloudknot: A Python Library to Run your Existing Code on AWS BatchAdam Richie-Halford, Ariel Rokemhttps://doi.org/10.25080/Majora-4af1f417-001Equity, Scalability, and Sustainability of Data Science InfrastructureEquity, Scalability, and Sustainability of Data Science InfrastructureAnthony Suen, Laura Norén, Alan Liang, +1https://doi.org/10.25080/Majora-4af1f417-002Composable Multi-Threading and Multi-Processing for Numeric LibrariesComposable Multi-Threading and Multi-Processing for Numeric LibrariesAnton Malakhov, David Liu, Anton Gorshkov, +1https://doi.org/10.25080/Majora-4af1f417-003The Econ-ARK and HARK: Open Source Tools for Computational EconomicsThe Econ-ARK and HARK: Open Source Tools for Computational EconomicsChristopher Carroll, Alexander Kaufman, Jacqueline Kazil, +2https://doi.org/10.25080/Majora-4af1f417-004Developing a Start-to-Finish Pipeline for Accelerometer-Based Activity Recognition Using Long Short-Term Memory Recurrent Neural NetworksDeveloping a Start-to-Finish Pipeline for Accelerometer-Based Activity Recognition Using Long Short-Term Memory Recurrent Neural NetworksChristian McDaniel, Shannon Quinnhttps://doi.org/10.25080/Majora-4af1f417-005Practical Applications of AstropyPractical Applications of AstropyDavid Shupe, Frank Masci, Russ Laher, +2https://doi.org/10.25080/Majora-4af1f417-006EarthSim: Flexible Environmental Simulation Workflows Entirely Within Jupyter NotebooksEarthSim: Flexible Environmental Simulation Workflows Entirely Within Jupyter NotebooksDharhas Pothina, Philipp Rudiger, James Bednar, +5https://doi.org/10.25080/Majora-4af1f417-007Safe handling instructions for missing dataSafe handling instructions for missing dataDillon Niederhuthttps://doi.org/10.25080/Majora-4af1f417-008Text and data mining scientific articles with allofplosText and data mining scientific articles with allofplosElizabeth Seiver, M Pacer, Sebastian Bassihttps://doi.org/10.25080/Majora-4af1f417-009Sparse: A more modern sparse array librarySparse: A more modern sparse array libraryHameer Abbasihttps://doi.org/10.25080/Majora-4af1f417-00aBringing ipywidgets Support to plotly.pyBringing ipywidgets Support to plotly.pyJon Measehttps://doi.org/10.25080/Majora-4af1f417-00bWrightSim: Using PyCUDA to Simulate Multidimensional SpectraWrightSim: Using PyCUDA to Simulate Multidimensional SpectraKyle Sunden, Blaise Thompson, John Wrighthttps://doi.org/10.25080/Majora-4af1f417-00cExploring the Extended Kalman Filter for GPS Positioning Using Simulated User and Satellite Track DataExploring the Extended Kalman Filter for GPS Positioning Using Simulated User and Satellite Track DataMark Wickert, Chiranth Siddappahttps://doi.org/10.25080/Majora-4af1f417-00dReal-Time Digital Signal Processing Using pyaudio_helper and the ipywidgetsReal-Time Digital Signal Processing Using pyaudio_helper and the ipywidgetsMark Wickerthttps://doi.org/10.25080/Majora-4af1f417-00eOrganic Molecules in Space: Insights from the NASA Ames Molecular Database in the era of the James Webb Space TelescopeOrganic Molecules in Space: Insights from the NASA Ames Molecular Database in the era of the James Webb Space TelescopeMatthew Shannon, Christiaan Boersmahttps://doi.org/10.25080/Majora-4af1f417-00fHarnessing the Power of Scientific Python to Investigate Biogeochemistry and Metaproteomes of the Central Pacific OceanHarnessing the Power of Scientific Python to Investigate Biogeochemistry and Metaproteomes of the Central Pacific OceanNoelle Held, Jaclyn Saunders, Joe Futrelle, +1https://doi.org/10.25080/Majora-4af1f417-010Binder 2.0 - Reproducible, interactive, sharable environments for science at scaleBinder 2.0 - Reproducible, interactive, sharable environments for science at scaleProject Jupyter, Matthias Bussonnier, Jessica Forde, +12https://doi.org/10.25080/Majora-4af1f417-011Spatio-temporal analysis of socioeconomic neighborhoods: The Open Source Longitudinal Neighborhood Analysis Package (OSLNAP)Spatio-temporal analysis of socioeconomic neighborhoods: The Open Source Longitudinal Neighborhood Analysis Package (OSLNAP)Sergio Rey, Elijah Knaap, Su Han, +2https://doi.org/10.25080/Majora-4af1f417-012Design and Implementation of pyPRISM: A Polymer Liquid-State Theory FrameworkDesign and Implementation of pyPRISM: A Polymer Liquid-State Theory FrameworkTyler Martin, Thomas Gartner, Ronald Jones, +2https://doi.org/10.25080/Majora-4af1f417-013A Bayesian’s journey to a better research workflowA Bayesian’s journey to a better research workflowKonstantinos Vamvourellis, Marianne Corvellechttps://doi.org/10.25080/Majora-4af1f417-014Scalable Feature Extraction with Aerial and Satellite ImageryScalable Feature Extraction with Aerial and Satellite ImageryVirginia Ng, Daniel Hofmannhttps://doi.org/10.25080/Majora-4af1f417-015signac: A Python framework for data and workflow managementsignac: A Python framework for data and workflow managementVyas Ramasubramani, Carl Adorf, Paul Dodd, +2https://doi.org/10.25080/Majora-4af1f417-016Yaksh: Facilitating Learning by DoingYaksh: Facilitating Learning by DoingPrabhu Ramachandran, Prathamesh Salunke, Ankit Javalkar, +3https://doi.org/10.25080/Majora-4af1f417-017Proceedings of the 17th Python in Science ConferenceOrganization
