Conferences / SciPy Conference (Scientific Computing with Python)
SciPy 2019
Jul 8–14, 2019 · AT&T Executive Education and Conference Center, University of Texas, Austin, TX, United States
- Conference
- SciPy Conference (Scientific Computing with Python) Data science & ML
- Dates
- Jul 8, 2019 – Jul 14, 2019
- Venue
- AT&T Executive Education and Conference Center, University of Texas
- Place
- Austin, TX, United States
- Format
- In person
- Status
- Past
- Attendance
- 800Conference home page: 'brings together over 800 participants from industry, academia, and government' (general description, not an audited headcount); registration page says 'SciPy is now sold out!'
- Website
- scipy2019.scipy.org
- Recorded
- 24 sponsors · 279 speaker appearances
- Notes
- 18th annual SciPy. Tutorials July 8-9, conference July 10-12, sprints July 13-14. Speakers: keynotes and tutorial presenters from the speaker directory (tutorial titles not recoverable: the tutorial schedule was an embedded app that is now offline); talks and posters from the Talks & Posters page. Affiliations only where the speaker directory states one (null otherwise). Videos on the Enthought YouTube channel (playlist PLYx7XA2nY5GcDQblpQ_M1V3PQPoLWiDAC), not linked per talk.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Student general conference (early bird) | $225 | May 1, 2019 | jim5090.wixsite.com | |
| Student tutorials (early bird) | $275 | May 1, 2019 | jim5090.wixsite.com | |
| Academic general conference (early bird) | $350 | May 1, 2019 | jim5090.wixsite.com | |
| Academic tutorials (early bird) | $400 | May 1, 2019 | jim5090.wixsite.com | |
| Standard general conference (early bird) | $450 | May 1, 2019 | jim5090.wixsite.com | |
| Standard tutorials (early bird) | $500 | May 1, 2019 | jim5090.wixsite.com | |
| Student general conference (regular) | $275 | Jul 10, 2019 | jim5090.wixsite.com | |
| Student tutorials (regular) | $325 | Jul 10, 2019 | jim5090.wixsite.com | |
| Academic general conference (regular) | $400 | Jul 10, 2019 | jim5090.wixsite.com | |
| Academic tutorials (regular) | $450 | Jul 10, 2019 | jim5090.wixsite.com | |
| Standard general conference (regular) | $500 | Jul 10, 2019 | jim5090.wixsite.com | |
| Standard tutorials (regular) | $550 | Jul 10, 2019 | jim5090.wixsite.com | |
| Teen Track (July 8-9) | $50 | — | jim5090.wixsite.com |
Sponsors 24
Speakers and talks 279
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Carol Willing | Willing Consulting | Keynote | — | — |
| Rachel Thomas | University of San Francisco Data Institute | Keynote | — | — |
| Stuart Geiger | UC-Berkeley Institute for Data Science | Keynote | — | — |
| Abigail Cabunoc Mayes | Mozilla Foundation / Trinity College Dublin | Speaker | Work Open, Lead Open (#WOLO) for Sustainability | — |
| Aileen Nielsen | Skillman Consulting | Tutorial | — | — |
| Alan Liang | — | Poster | National Advancement of Data Science Education | — |
| Alex Chabot-leclerc | Enthought | Tutorial | — | — |
| Alice Broadhead | — | Speaker | Using a Stacking Model Ensemble Approach to Predict Rare Events | — |
| Allen Downey | Olin College | Tutorial | — | — |
| Allen Downey | Olin College | Speaker | Generational Changes in Support for Gun Laws: A Case Study in Computational Statistics | — |
| Ambrose Carr | — | Speaker | Zarr - Scalable Storage of Tensor Data for Use in Parallel and Distributed Computing | — |
| Anderson Banihirwe | — | Speaker | Turning HPC Systems into Interactive Data Analysis Platforms using Jupyter and Dask | — |
| Andres Vila Casado | — | Poster | Using Scientific Python to Win the Army RCO Signal Classification Challenge | — |
| Andrew Reid | — | Poster | OOF: Open-Source Finite Element Analysis for Materials | — |
| Andrew Zhang | — | Poster | The Data Weaver, A Package Manager for Integrated Datasets | — |
| Angus Forbes | — | Poster | Solving Polynomial Systems with phcpy | — |
| Anthony Scopatz | Quansight | Tutorial | — | — |
| Anthony Scopatz | Quansight | Speaker | Inequality of Underrepresented Groups in Core Project Leadership | — |
| Anthony Suen | — | Poster | National Advancement of Data Science Education | — |
| Antonio T. Lorenzo | — | Speaker | Renewable Power Forecast Generation with Dask and Visualization with Bokeh | — |
| Astrid Prinz | — | Speaker | Building and Replicating Models of Visual Search Behavior with Tensorflow, Nengo, and the Scientific Python Stack | — |
| Blaine Mooers | — | Poster | The pymolsnips Library for Advanced Visualization of Protein Structures | — |
| Blake Marsh | — | Poster | Address Validation Techniques with GIS Data | — |
| Bradley Dice | — | Speaker | Freud: A Software Suite for High-Throughput Analysis of Nanoscale Simulation Data | — |
| Brian Ancell | — | Speaker | Efficient Atmospheric Analogue Selection with Xarray and Dask | — |
| Brigitta Sipőcz | — | Speaker | Astropy Beyond Astronomy: Infrastructure of an Open Source Ecosystem | — |
| Caroline Kery | — | Poster | SMART: An Open Source Data Labeling Platform for Supervised Learning | — |
| Catherine Gitau | — | Poster | Deep Learning for Game Matchmaking Optimization | — |
| Celia Cintas | — | Speaker | Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation in Archaeological Studies | — |
| Chandrasekhar Ramakrishnan | ETH Zurich | Tutorial | — | — |
| Charles Nicholas | — | Poster | pyLZJD | — |
| Chiranth Siddappa | — | Poster | CAF Implementation on FGPA Using Python Tools | — |
| Chris R. Smith | — | Poster | pyUSID and Pycroscopy – Community Driven Efforts for Scalable Storage and Analysis of Imaging and Spectroscopic Data | — |
| Christian McDaniel | — | Poster | GCNeuro: A Graph Convolutional Network Pipeline for Preprocessing and Analyzing Multimodal Neuroimage Data | — |
| Christian Mühlfeld | — | Speaker | Processing Extremely Large Images: Theory and Practice | — |
| Christopher Tralie | — | Speaker | Scikit-TDA: Topological Tools for the Python Ecosystem | — |
| Christopher Waters | — | Poster | Robospect: Automating Astronomical Spectral Analysis | — |
| Colin Carroll | Freebird | Tutorial | — | — |
| Dana Weinstein | — | Poster | PyMeasRF: Automating RF Device Measurements Using Python | — |
| Daniel Chen | University of Virginia | Tutorial | — | — |
| Daniel Smith | — | Speaker | Composing and Decomposing Quantum Chemistry Software: Transitioning a Field from ASCII Text to Relational Data Documents and Schema | — |
| Dante Gama Dessavre | NVIDIA | Tutorial | — | — |
| David Hagen | — | Poster | Class-based ODE Solvers and Event Detection in SciPy | — |
| David Hoese | University of Wisconsin-Madison | Tutorial | — | — |
| David Najera | — | Poster | A Python-Based Framework for Composite Material Property Characterization | — |
| David Nicholson | Emory University | Speaker | Building and Replicating Models of Visual Search Behavior with Tensorflow, Nengo, and the Scientific Python Stack | — |
| Deborah Hanus | Sparrow | Tutorial | — | — |
| Deepak Chittajallu | — | Speaker | Processing Extremely Large Images: Theory and Practice | — |
| Dharhas Pothina | — | Poster | EarthSim: Flexible Environmental Simulation Workflows – One Year Later | — |
| Dorothy Howard | — | Speaker | Invisible Work, Incentives, and Burnout in Open Communities: A Qualitative and Quantitative Study | — |
| Doug Melville | — | Poster | A Python-Based Framework for Composite Material Property Characterization | — |
| Earth, Ocean, Geo and Atmospheric Science | — | Speaker | Data Drve Discoveries | — |
| Earth, Ocean, Geo, Atmospheric | — | Speaker | Data Drve Discoveries | — |
| Eathan Lee | — | Poster | Water Harvesting Using Solar Energy | — |
| Edward Preble | RTI International | Speaker | Challenges in Detecting Physiological Changes Using Wearable Sensor Data | — |
| Edward Raff | — | Poster | pyLZJD | — |
| Elizabeth Williams | — | Speaker | Experiences Building Local Communities of Open Source Practices Users through The Carpentries’ Membership Program | — |
| Emily Chase | — | Poster | Water Harvesting Using Solar Energy | — |
| Eric Harper | — | Speaker | Freud: A Software Suite for High-Throughput Analysis of Nanoscale Simulation Data | — |
| Eric Jayson | — | Poster | A Python-Based Framework for Composite Material Property Characterization | — |
| Eric Ma | Novartis | Speaker | pyjanitor: Clean APIs for Cleaning Data | — |
| Eric Ma | Novartis | Tutorial | — | — |
| Erik Tollerud | — | Speaker | Astropy Beyond Astronomy: Infrastructure of an Open Source Ecosystem | — |
| Erik Tollerud | — | Speaker | Data Analysis Tools for the James Webb Space Telescope: a Confluence of Academia, NASA, and Open Source | — |
| Erik van Sebille | — | Speaker | How to Track Plastic in the Ocean? The Parcels Lagrangian Ocean Framework | — |
| Ethan Rosenthal | Rosenthal Data, LLC | Speaker | Model Remodeling with Modern Deep Learning Frameworks | — |
| Ethan White | — | Poster | The Data Weaver, A Package Manager for Integrated Datasets | — |
| Evan Gildernew | — | Poster | Water Harvesting Using Solar Energy | — |
| Frank Schlimbach | — | Poster | Daal4py—Creating a Data Scientist-first Framework with a Hardware-centric Native Library | — |
| Fritz Lekschas | — | Speaker | To a Billion and Beyond: How to Visually Explore, Compare and Share Large Quantitative Datasets. | — |
| Gajendra Deshpande | KLS Gogte Institute of Technology, India | Poster | Multi Agent Cognitive Architecture for Secure Computation in Internet of Thing | — |
| Gajendra Deshpande | KLS Gogte Institute of Technology, India | Poster | Prepare Your Meal: An Application of Artificial Intelligence in Diabetes Management through Meal Planning | — |
| Gavin Wiggins | Oak Ridge National Laboratory | Poster | A Pythonic Equivalent Circuit Model for Battery Research | — |
| Gavin Wiggins | Oak Ridge National Laboratory | Poster | Using Python to Model Biomass Pyrolysis Reactors | — |
| Gene Ferruzza | — | Speaker | Using a Stacking Model Ensemble Approach to Predict Rare Events | — |
| Genevieve Buckley | — | Speaker | Microscopium: Interactive Exploration of Large Imaging Datasets | — |
| Geoffrey Cureton | — | Poster | Sunglint-Polyspectra: The Generation of Simulated Random Data for Numerical Experiments | — |
| Geoffrey Poore | Union University | Poster | Codebraid: Live Code in Pandoc Markdown | — |
| Gerald Muriuki | — | Poster | Deep Learning for Game Matchmaking Optimization | — |
| Gilbert Forsyth | Capital One | Tutorial | — | — |
| Giordon Stark | — | Poster | pyhf: A pure Python Statistical Fitting Library from the High Energy Physics Community with Tensors and Autograd | — |
| Gordon Chen | Oracle | Speaker | Safe Handling Instructions for Probabilistic Classification | — |
| Hannah Aizenman | City College of New York/The Graduate Center (CUNY) | Tutorial | — | — |
| Hendrik Jacob van Veen | — | Speaker | Scikit-TDA: Topological Tools for the Python Ecosystem | — |
| Henry Senyondo | — | Poster | The Data Weaver, A Package Manager for Integrated Datasets | — |
| Hongsup Shin | — | Poster | Case Study: Real-World Machine Learning Application for Hardware Failure Detection | — |
| Hsin Wang | — | Poster | A Pythonic Equivalent Circuit Model for Battery Research | — |
| Hugo Browne-Anderson | DataCamp | Tutorial | — | — |
| Iain Russell | — | Poster | New Possibilities in Earth System Sciences Thanks to Python | — |
| Image Processing | — | Speaker | Genera | — |
| Image Processing | — | Speaker | Genera | — |
| Ioannis Paraskevakos | — | Poster | PMDA - Parallel Molecular Dynamics Analysis | — |
| Jackson Anderson | — | Poster | PyMeasRF: Automating RF Device Measurements Using Python | — |
| Jacob Dice | — | Poster | Address Validation Techniques with GIS Data | — |
| Jacob Schreiber | University of Washington | Speaker | Apricot: Submodular Selection for Data Summarization | — |
| James Bednar | Anaconda | Speaker | Panel: Turn any Notebook into a Deployable Dashboard | — |
| James Bednar | Anaconda | Tutorial | — | — |
| Jan Verschelde | — | Poster | Solving Polynomial Systems with phcpy | — |
| Jasmine Otto | — | Poster | Solving Polynomial Systems with phcpy | — |
| Jason Grout | Bloomberg | Tutorial | — | — |
| Jean-Luc Stevens | Anaconda | Tutorial | — | — |
| Jennifer Witt | — | Poster | Monitoring the Processing and Delivery of Cloud and Aerosol Products for the Atmosphere SIPS | — |
| Jennifer Zuehlke | — | Poster | Improving Network Connectivity in Rural Texas Counties by Using Pandas and GeoPandas with TIGER Edge and Node Data | — |
| Jeremy Freeman | — | Speaker | Supporting Open-Source Software for Science | — |
| Jessica Braun | — | Poster | Monitoring the Processing and Delivery of Cloud and Aerosol Products for the Atmosphere SIPS | — |
| Joe Aurelio | — | Poster | pyLZJD | — |
| John Kirkham | — | Speaker | dask-image:A Library for Distributed Image Processing | — |
| John Leeman | Leeman Geophysical LLC | Tutorial | — | — |
| Jordan W. Suchow | — | Speaker | Fully Automated Behavioral Experiments on Cultural Transmission through Crowdsourcing | — |
| Jordan Wilson | — | Poster | Development of a Dynamic Irrigation Water-Use Model within a Hydrologic Decision-Support System in the Mississippi Alluvial Plain, 1999-2017 | — |
| José Manuel Fuertes Garcia | — | Speaker | Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation in Archaeological Studies | — |
| Joseph Hamman | — | Speaker | Turning HPC Systems into Interactive Data Analysis Platforms using Jupyter and Dask | — |
| Josh Gordon | Tutorial | — | — | |
| Joshua Warner | University of Arizona | Tutorial | — | — |
| Juan Nunez-Iglesias | Monash University | Speaker | Genera | — |
| Juan Nunez-Iglesias | Monash University | Tutorial | — | — |
| Julia Signell | Anaconda | Tutorial | — | — |
| Julie Hollek | — | Poster | Robospect: Automating Astronomical Spectral Analysis | — |
| Julius Busecke | — | Speaker | Xgcm: Analyzing General Circulation Models in Python | — |
| Kari Jordan | — | Speaker | Experiences Building Local Communities of Open Source Practices Users through The Carpentries’ Membership Program | — |
| Kathleen Pitz | — | Poster | Understanding Oceanographic Discrete Sampling Geometry Data with STOQS | — |
| Kathryn Huff | — | Poster | Preventing Disaster: Identifying Nuclear Weapons with Neural Networks | — |
| Keith Kraus | NVIDIA | Tutorial | — | — |
| Ken Martin | — | Poster | itk-jupyter-widgets: Interactive 3D and 2D Visualization for Jupyte | — |
| Kevin Paul | — | Speaker | Turning HPC Systems into Interactive Data Analysis Platforms using Jupyter and Dask | — |
| Kevin Winters | — | Poster | EarthSim: Flexible Environmental Simulation Workflows – One Year Later | — |
| Kezban Sila Kunt | — | Poster | Visualizing the Trends in Health Indicators in the Communities of City of Chicago with Pandas and Geopandas. | — |
| Kristin Gilchrist | — | Speaker | Challenges in Detecting Physiological Changes Using Wearable Sensor Data | — |
| Kyle Logue | — | Poster | Using Scientific Python to Win the Army RCO Signal Classification Challenge | — |
| Laura Kahn | Accenture | Poster | Use of Neural Networks to Predict Coffee Rust | — |
| Laurent Prévot | — | Poster | Conversational Analytics and Visualisation with Modern Data Science Packages | — |
| Laurie Stephey | NERSC | Speaker | Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers | — |
| Leland J. Boeman | — | Speaker | Renewable Power Forecast Generation with Dask and Visualization with Bokeh | — |
| Levi Wolf | University of Bristol | Tutorial | — | — |
| Liam Gumley | — | Poster | Monitoring the Processing and Delivery of Cloud and Aerosol Products for the Atmosphere SIPS | — |
| Lilly Irani | — | Speaker | Invisible Work, Incentives, and Burnout in Open Communities: A Qualitative and Quantitative Study | — |
| Lilly Winfree | — | Speaker | Building a Sustainable Open Source, Open Science Community with Frictionless Data | — |
| Lorena Barba | The George Washington University | Poster | Python Workflow for High-Fidelity Modeling of Overland Hydrocarbon Flows with GeoClaw and Cloud Computing | — |
| Lorena Barba | The George Washington University | Tutorial | — | — |
| Lori Burns | — | Speaker | Composing and Decomposing Quantum Chemistry Software: Transitioning a Field from ASCII Text to Relational Data Documents and Schema | — |
| Lukas Heinrich | — | Poster | pyhf: A pure Python Statistical Fitting Library from the High Energy Physics Community with Tensors and Autograd | — |
| Maarten Breddels | — | Tutorial | — | — |
| Maarten Breddels | — | Speaker | Dashboarding with Jupyter Notebooks, Voila and Widgets | — |
| Maarten Breddels | — | Speaker | Vaex: Out of Core Dataframes for Python | — |
| Mahdi Shooshtari | — | Speaker | A Geographers Journey into AI: Mapping Urban Trees from Scratch | — |
| Manuel Lucena | — | Speaker | Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation in Archaeological Studies | — |
| Mark Kamuda | — | Poster | Preventing Disaster: Identifying Nuclear Weapons with Neural Networks | — |
| Mark Wickert | — | Poster | A Real-Time 3D Audio Simulator for Cognitive Hearing Science | — |
| Mark Wickert | — | Poster | CAF Implementation on FGPA Using Python Tools | — |
| Martin Renou | QuantStack | Speaker | Dashboarding with Jupyter Notebooks, Voila and Widgets | — |
| Martin Renou | QuantStack | Tutorial | — | — |
| Masayuki Takagi | — | Speaker | CuPy: A NumPy-Compatible Library for High Performance Computing with GPU | — |
| Matt Craig | Minnesota State University Moorhead | Tutorial | — | — |
| Matt Davis | Clover Health | Tutorial | — | — |
| Matteo Interlandi | — | Speaker | ML.NET in Python with NimbusML | — |
| Matthew Craig | — | Poster | VPython: 3D Visualization of Physical Models Made Easy | — |
| Matthew Feickert | Southern Methodist University | Poster | pyhf: A pure Python Statistical Fitting Library from the High Energy Physics Community with Tensors and Autograd | — |
| Matthew McCormick | — | Speaker | Processing Extremely Large Images: Theory and Practice | — |
| Matthew McCormick | — | Poster | itk-jupyter-widgets: Interactive 3D and 2D Visualization for Jupyte | — |
| Matthew Rocklin | — | Speaker | Better and Faster Model Selection with Dask | — |
| Matthew Rocklin | — | Speaker | Refactoring the SciPy Ecosystem for Heterogeneous Computing | — |
| Matthew Turk | — | Speaker | Getting Lost in Community Building | — |
| Matthew Turk | — | Poster | A Reference Implementation of Domain Context Systems in yt | — |
| Matthias Bussonnier | UC Merced | Tutorial | — | — |
| Matti Picus | — | Speaker | Inside NumPy: Preparing for the Next Decade | — |
| Max Linke | — | Poster | PMDA - Parallel Molecular Dynamics Analysis | — |
| Meghan Hegarty-Craver | — | Speaker | Challenges in Detecting Physiological Changes Using Wearable Sensor Data | — |
| Mehmet Kunt | Eastern Mediterranean University | Poster | Improving Network Connectivity in Rural Texas Counties by Using Pandas and GeoPandas with TIGER Edge and Node Data | — |
| Melissa Weber Mendonça | — | Poster | How to Teach Python to Math Teachers | — |
| Michael Hearne | — | Speaker | Data Drve Discoveries | — |
| Michael McCann | — | Poster | Understanding Oceanographic Discrete Sampling Geometry Data with STOQS | — |
| Michael Wenger | — | Poster | SMART: An Open Source Data Labeling Platform for Supervised Learning | — |
| Min Khant Zaw | Webster Univeristy | Poster | Using SciPy to Plot and Analyze Comprehensive Time Series Climate Data | — |
| Nadia Tahiri | UQAM | Poster | Smart Shopping Based on Partitioning and Machine Learning Algorithms | — |
| Nathan Goldbaum | — | Poster | A Reference Implementation of Domain Context Systems in yt | — |
| Nathan Vignal | — | Poster | Conversational Analytics and Visualisation with Modern Data Science Packages | — |
| Nathaniel Saul | Department of Mathematics and Statistics, Washington State University | Speaker | Scikit-TDA: Topological Tools for the Python Ecosystem | — |
| Nezar Abdennur | — | Speaker | To a Billion and Beyond: How to Visually Explore, Compare and Share Large Quantitative Datasets. | — |
| Nicholas Sofroniew | — | Speaker | Supporting Open-Source Software for Science | — |
| Nick Becker | NVIDIA | Tutorial | — | — |
| Nicolas Hug | — | Speaker | Fast Gradient Boosting Decision Trees with PyGBM and Numba | — |
| Nikolay Mayorov | — | Poster | Class-based ODE Solvers and Event Detection in SciPy | — |
| Numan Laanait | — | Poster | pyUSID and Pycroscopy – Community Driven Efforts for Scalable Storage and Analysis of Imaging and Spectroscopic Data | — |
| Oleksandr Pavlyk | — | Poster | Daal4py—Creating a Data Scientist-first Framework with a Hardware-centric Native Library | — |
| Patricia Hanus | University of California, Berkeley | Tutorial | — | — |
| Patricia Hanus | University of California, Berkeley | Speaker | To Comment or Not to Comment? A Data-Drive Look at Conflicting Attitudes Towards Commenting | — |
| Paul Miles | — | Speaker | Parameter Estimation Using the Python Package pymcmcstat | — |
| Peter Kerpedjiev | — | Speaker | To a Billion and Beyond: How to Visually Explore, Compare and Share Large Quantitative Datasets. | — |
| Philipp Hanslovsky | — | Speaker | imglyb - Bridging The Chasm Between ImageJ and NumPy | — |
| Philipp Rudiger | Anaconda | Speaker | Panel: Turn any Notebook into a Deployable Dashboard | — |
| Philipp Rudiger | Anaconda | Tutorial | — | — |
| Philippe Delandmeter | — | Speaker | How to Track Plastic in the Ocean? The Parcels Lagrangian Ocean Framework | — |
| Pi-Yueh Chuang | — | Poster | Python Workflow for High-Fidelity Modeling of Overland Hydrocarbon Flows with GeoClaw and Cloud Computing | — |
| Python in Seismology at the National Earthquake Information Center: APIs and Applications | — | Speaker | Data Drve Discoveries | — |
| Rajdeep Sengupta | — | Poster | Address Validation Techniques with GIS Data | — |
| Rajeswari Sivakumar | — | Poster | Parkinson's Classification and Feature Extraction from Diffusion Tensor Images | — |
| Ralf Gommers | Quansight | Speaker | Inside NumPy: Preparing for the Next Decade | — |
| Ralph Smith | — | Speaker | Parameter Estimation Using the Python Package pymcmcstat | — |
| Randy Machemehl | — | Poster | Improving Network Connectivity in Rural Texas Counties by Using Pandas and GeoPandas with TIGER Edge and Node Data | — |
| Ravin Kumar | ArviZ | Tutorial | — | — |
| Real-World Numba: Creating a Skeleton Analysis Librar | — | Speaker | Genera | — |
| Rebecca Bilbro | ICX Media, Inc | Speaker | Visual Diagnostics at Scale: More Informed Machine Learning with Large Datasets | — |
| Robert Chew | — | Poster | SMART: An Open Source Data Labeling Platform for Supervised Learning | — |
| Robert Jackson | — | Speaker | PyDDA: A New Pythonic Package for Wind Retrievals | — |
| Rollin Thomas | — | Speaker | Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers | — |
| Ryan Abernathey | — | Speaker | Zarr - Scalable Storage of Tensor Data for Use in Parallel and Distributed Computing | — |
| Ryan Abernathey | — | Speaker | Xgcm: Analyzing General Circulation Models in Python | — |
| Ryan May | Dopplershift LLC | Tutorial | — | — |
| Samantha Walkow | — | Poster | A Reference Implementation of Domain Context Systems in yt | — |
| Samapriya Roy | Planet | Tutorial | — | — |
| Sara Safavi | Planet | Tutorial | — | — |
| Satish Karra | — | Poster | Harnessing Graph Theory and Machine Learning for Reducing High-Fidelity Discrete Fracture Network Models | — |
| Saumik Dana | — | Poster | Harnessing Graph Theory and Machine Learning for Reducing High-Fidelity Discrete Fracture Network Models | — |
| Scott Christensen | — | Poster | EarthSim: Flexible Environmental Simulation Workflows – One Year Later | — |
| Scott Collins | — | Speaker | PyDDA: A New Pythonic Package for Wind Retrievals | — |
| Scott Sievert | — | Speaker | Better and Faster Model Selection with Dask | — |
| Seamus Gallagher | — | Poster | Cortix: A Python Package for Coupled System Dynamic Simulations | — |
| Seamus Gallagher | — | Poster | Data Acquisition and Distribution for Offline Systems (DADOS) | — |
| Sebastian Hanus | Massachusetts Institute of Technology | Tutorial | — | — |
| Sebastien Jourdain | — | Poster | itk-jupyter-widgets: Interactive 3D and 2D Visualization for Jupyte | — |
| Serge Rey | University of California, Riverside | Tutorial | — | — |
| Shammamah Hossain | Plotly | Speaker | Visualization of Bioinformatics Data with Dash Bio | — |
| Shannon Axelrod | Chan Zuckerberg Initiative | Speaker | Starfish: Standardizing Pipelines for Image-Based Transcriptomics | — |
| Shannon Quinn | — | Poster | GCNeuro: A Graph Convolutional Network Pipeline for Preprocessing and Analyzing Multimodal Neuroimage Data | — |
| Shannon Quinn | — | Poster | Parkinson's Classification and Feature Extraction from Diffusion Tensor Images | — |
| Shauheen Zahirazami | — | Speaker | ML.NET in Python with NimbusML | — |
| Shotaro Sano | — | Speaker | Optuna: A Define-by-Run Hyperparameter Optimization Framework | — |
| Shriram Srinivasan | — | Poster | Harnessing Graph Theory and Machine Learning for Reducing High-Fidelity Discrete Fracture Network Models | — |
| Shrirang Kulkarni | — | Poster | Multi Agent Cognitive Architecture for Secure Computation in Internet of Thing | — |
| Shrirang Kulkarni | — | Poster | Prepare Your Meal: An Application of Artificial Intelligence in Diabetes Management through Meal Planning | — |
| Shujie Fan | — | Poster | PMDA - Parallel Molecular Dynamics Analysis | — |
| Simone Fuscone | — | Poster | Conversational Analytics and Visualisation with Modern Data Science Packages | — |
| Siu Kwan Lam | — | Speaker | How to Accelerate an Existing Codebase with Numba | — |
| Srikanth Allu | — | Poster | A Pythonic Equivalent Circuit Model for Battery Research | — |
| Stanley Seibert | — | Speaker | How to Accelerate an Existing Codebase with Numba | — |
| Stéfan van der Walt | University of California, Berkeley | Tutorial | — | — |
| Stefanie Lumnitz | — | Speaker | A Geographers Journey into AI: Mapping Urban Trees from Scratch | — |
| Stephan Balme | — | Speaker | Zarr - Scalable Storage of Tensor Data for Use in Parallel and Distributed Computing | — |
| Stephan Siemen | — | Poster | New Possibilities in Earth System Sciences Thanks to Python | — |
| Stephanie Stattel | Bloomberg | Tutorial | — | — |
| Stephen Bailey | — | Speaker | Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers | — |
| Stuart Geiger | UC-Berkeley Institute for Data Science | Speaker | Invisible Work, Incentives, and Burnout in Open Communities: A Qualitative and Quantitative Study | — |
| Suhas Somnath | — | Poster | pyUSID and Pycroscopy – Community Driven Efforts for Scalable Storage and Analysis of Imaging and Spectroscopic Data | — |
| Suriyadeepan Ramamoorthy | — | Speaker | Anatomy of Probabilistic Programming Languages | — |
| Sylvain Corlay | QuantStack | Tutorial | — | — |
| Taha Azzaoui | — | Poster | Cortix: A Python Package for Coupled System Dynamic Simulations | — |
| Taha Azzaoui | — | Poster | Data Acquisition and Distribution for Offline Systems (DADOS) | — |
| Takuya Akiba | — | Speaker | Optuna: A Define-by-Run Hyperparameter Optimization Framework | — |
| Tania Allard | Microsoft | Speaker | Inclusive Leadership: Engaging Contributors in the Long-Term | — |
| Thomas Caswell | Brookhaven National Laboratory | Tutorial | — | — |
| Thomas Fan | Columbia University | Speaker | Skorch - A Union of Scikit-learn and PyTorch | — |
| Thomas J.H. Morgan | — | Speaker | Fully Automated Behavioral Experiments on Cultural Transmission through Crowdsourcing | — |
| Thomas Robitaille | Aperio Software Ltd | Tutorial | — | — |
| Thomas Robitaille | Aperio Software Ltd | Speaker | Astropy Beyond Astronomy: Infrastructure of an Open Source Ecosystem | — |
| Thomas Robitaille | Aperio Software Ltd | Speaker | Multi-Dimensional Linked Data Exploration with Glue | — |
| Timothy Lang | — | Speaker | PyDDA: A New Pythonic Package for Wind Retrievals | — |
| Tingyu Wang | The George Washington University | Tutorial | — | — |
| Tom Augspurger | — | Speaker | Better and Faster Model Selection with Dask | — |
| Toshihiko Yanase | — | Speaker | Optuna: A Define-by-Run Hyperparameter Optimization Framework | — |
| Tracy Thorleifson | — | Poster | Python Workflow for High-Fidelity Modeling of Overland Hydrocarbon Flows with GeoClaw and Cloud Computing | — |
| Tyler Reddy | — | Speaker | Inside NumPy: Preparing for the Next Decade | — |
| Tyler Wixstrom | — | Speaker | Efficient Atmospheric Analogue Selection with Xarray and Dask | — |
| Valentina Staneva | — | Speaker | Echopype: Enhancing the Interoperability and Scalability of Ocean Sonar Data Processing for Biological Information | — |
| Valmor de Almeida | — | Poster | Cortix: A Python Package for Coupled System Dynamic Simulations | — |
| Valmor de Almeida | — | Poster | Data Acquisition and Distribution for Offline Systems (DADOS) | — |
| Verena Griess | — | Speaker | A Geographers Journey into AI: Mapping Urban Trees from Scratch | — |
| Veronica Hanus | — | Tutorial | — | — |
| Veronica Hanus | — | Speaker | Git “Hooked” On Images In Your Version Control and Up Your Documentation Game | — |
| Veronica Hanus | — | Speaker | To Comment or Not to Comment? A Data-Drive Look at Conflicting Attitudes Towards Commenting | — |
| Vincent (Hiroyuki) Yamaz | — | Speaker | Chainer: A Deep Learning Framework for Fast Research and Applications | — |
| Vishal H. Lall | — | Speaker | Fully Automated Behavioral Experiments on Cultural Transmission through Crowdsourcing | — |
| Vyas Ramasubramani | — | Speaker | Freud: A Software Suite for High-Throughput Analysis of Nanoscale Simulation Data | — |
| Wade Kress | — | Poster | Development of a Dynamic Irrigation Water-Use Model within a Hydrologic Decision-Support System in the Mississippi Alluvial Plain, 1999-2017 | — |
| William F. Holmgren | — | Speaker | Renewable Power Forecast Generation with Dask and Visualization with Bokeh | — |
| Wu-Jung Lee | — | Speaker | Echopype: Enhancing the Interoperability and Scalability of Ocean Sonar Data Processing for Biological Information | — |
| Xu Fei | Code Ocean | Tutorial | — | — |
| Yiwen Zhu | — | Speaker | ML.NET in Python with NimbusML | — |
| Zac Hatfield-Dodds | Australian National University | Tutorial | — | — |
| Zac Hatfield-Dodds | Australian National University | Speaker | Test Research Code the Easy Way: By Generating Random Inputs with Hypothesis | — |
Sources
- https://jim5090.wixsite.com/scipy2019
- https://jim5090.wixsite.com/scipy2019/speaker-directory
- https://jim5090.wixsite.com/scipy2019/talks-and-poster-schedule
- https://jim5090.wixsite.com/scipy2019/2019-sponsors
- https://jim5090.wixsite.com/scipy2019/register
- https://jim5090.wixsite.com/scipy2019/venue-local-info
- https://www.youtube.com/playlist?list=PLYx7XA2nY5GcDQblpQ_M1V3PQPoLWiDAC