Conferences / SciPy Conference (Scientific Computing with Python)
SciPy 2023
Jul 10–16, 2023 · AT&T Hotel and Conference Center, University of Texas, Austin, TX, United States
- Conference
- SciPy Conference (Scientific Computing with Python) Data science & ML
- Dates
- Jul 10, 2023 – Jul 16, 2023
- Venue
- AT&T Hotel and Conference Center, University of Texas
- Place
- Austin, TX, United States
- Format
- Hybrid
- Status
- Past
- Attendance
- 700Conference program PDF: SciPy 'brings together over 700 participants from academia, industry, and government' (general description)
- Website
- scipy2023.scipy.org
- Recorded
- 11 sponsors · 198 speaker appearances
- Notes
- 22nd annual SciPy; first edition organized under NumFOCUS (Enthought remains institutional sponsor). Virtual conference passes available. Tutorials July 10-11, conference July 12-14, sprints July 15-16. Speakers: all confirmed talks and tutorials from the pretalx schedule; keynotes from the keynote page (titles not listed). Affiliations parsed from pretalx speaker bios only where stated (null otherwise). Ticket prices not recovered (ti.to page archived before tickets were listed). Videos on YouTube (@SciPy-Conf/Enthought), not linked from the schedule.
Ticket prices
No ticket prices recorded
Sponsors 11
Speakers and talks 198
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Angela Pisco | insitro | Keynote | — | — |
| Michael Droettboom | Microsoft | Keynote | — | — |
| Rumman Chowdhury | Parity Technologies | Keynote | — | — |
| 200 W Cesar Chavez | — | Tutorial | SciPy Welcome Reception | — |
| Aaron Meurer | Quansight | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Aaron Meurer | Quansight | Tutorial | SymPy Introductory Tutorial | — |
| Abby Mitchell | IBM | Speaker | Beyond Bits & Qubits: Effective Open Source Community Management in Quantum Computing | — |
| Adam Breindel | Anyscale | Tutorial | Scalable machine learning workloads with Ray AI Runtime | — |
| Alan Braz | — | Speaker | Open Source Sprints [Kickoff in Room 204] | — |
| Alan Braz | — | Speaker | Open Source Sprints [Kickoff in Room 204] | — |
| Albert Steppi | Quansight | Tutorial | Resampling and Monte Carlo Methods in SciPy.stats | — |
| Alex Monahan | MotherDuck | Speaker | In-Process Analytical Data Management with DuckDB | — |
| Alexander Kaszynski | — | Tutorial | 3D Visualization with PyVista | — |
| Alexandre Passos | OpenAI | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Allen Downey | Brilliant | Speaker | Taming Black Swans: Long-tailed distributions in the natural and engineered world | — |
| amanda casari | Speaker | Thar Be Dragons - Ethical, Legal, and Policy Challenges when Measuring Open Source | — | |
| Amog Kamsetty | Anyscale | Speaker | Modern compute stack for scaling large AI/ML workloads | — |
| Ana Comesana | Lawrence Berkeley National Laboratory | Speaker | Using Python to accelerate sustainable aviation fuel research and development | — |
| Anders Johansson | Harvard University | Speaker | Allegro and FLARE: Fast and accurate machine learning potentials for extreme-scale simulations | — |
| Anderson Banihirwe | — | Tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis | — |
| Andreas Mueller | Microsoft | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Andrei Paleyes | University of Michigan | Speaker | Emukit: Python toolkit for uncertainty quantification | — |
| Angela Pisco | insitro | Speaker | Keynote - How Open Source Tools Power the Efforts of Biological Data Analysis and Drug Discovery | — |
| Anna Haensch | — | Speaker | Small Town Police Accountability: A Data Science Toolkit | — |
| Anutosh Bhat | IIT Madras | Tutorial | SymPy Introductory Tutorial | — |
| Ariana Mendible | Seattle University | Speaker | Small Town Police Accountability: A Data Science Toolkit | — |
| Athan Reines | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Axel Donath | Center for Astrophysics | Speaker | Gammapy: a Python Package for Gamma-Ray Astronomy Version v1.0 | — |
| Axel Donath | Center for Astrophysics | Tutorial | Building better data structures, APIs and configuration systems for scientific software using Pydantic | — |
| Bane Sullivan | — | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| Bane Sullivan | — | Tutorial | 3D Visualization with PyVista | — |
| bonny p mcclain | — | Tutorial | Python for answering geospatial questions: exploring social inequity in our communities | — |
| Brigitta Sipőcz | Caltech | Speaker | [BoF Room 103] SciPy 2023 Sprint Prep BoF | — |
| Brigitta Sipőcz | Caltech | Speaker | Open Source Sprints [Kickoff in Room 204] | — |
| Brigitta Sipőcz | Caltech | Speaker | Open Source Sprints [Kickoff in Room 204] | — |
| Bryan Van de Ven | — | Tutorial | Interactive data visualization with Bokeh | — |
| C.A.M. Gerlach | — | Speaker | [BoF Room 105] Scientific Python Packaging Summit | — |
| C.A.M. Gerlach | — | Speaker | [BoF Room 104] Beyond Notebooks: From reproducible to reusable research | — |
| Caitlin Lewis | University of North Carolina at Chapel Hill | Speaker | Ultra fast visualization of large datasets using modern graphics APIs in jupyter notebooks | — |
| Charles Blackmon-Luca | — | Tutorial | Advanced Dask Tutorial | — |
| Charles D Lindsey | Revionics | Speaker | Bayesian Statistics with Python, No Resampling Necessary | — |
| Chen Qian | Tutorial | Explore generative models in AI with Keras | — | |
| Cheuk Ting Ho | — | Tutorial | Power up your work with compiling and profiling | — |
| Chris Havlin | University of Illinois Urbana-Champaign | Speaker | Introducing yt_xarray | — |
| Christopher Ariza | Research Affiliates | Speaker | Out-Performing NumPy is Hard: When and How to Try with Your Own C-Extensions | — |
| Christopher Ostrouchov | — | Tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets | — |
| Coleman Kendrick | Oak Ridge National Laboratory | Speaker | Using Numba for GPU acceleration of Neutron Beamline Digital Twins | — |
| David C. Folch | — | Speaker | Using Linear Tracking Data to Estimate Backcountry Recreation Popularity | — |
| David Nicholson | Embedded Intelligence | Speaker | vak: a neural network framework for researchers studying animal acoustic communication | — |
| David Zeber | Mozilla | Speaker | Subpoenas Less Scary | — |
| Deepak Cherian | — | Tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis | — |
| Deepak Cherian | — | Speaker | Tidy Geospatial Cubes | — |
| Demitri Muna | — | Speaker | [BoF Room 104] Funding Open Source Software | — |
| Dharhas Pothina | — | Speaker | Community-first open source: An action plan! | — |
| Dharhas Pothina | — | Tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets | — |
| Dimitri Yatsenko | DataJoint | Speaker | DataJoint: Bringing databases back into data science | — |
| Divyashree Shivakumar Sreepathihalli | Tutorial | Explore generative models in AI with Keras | — | |
| Don Setiawan | University of Washington | Tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis | — |
| Drew Camron | UCAR/Unidata | Speaker | Better (Open Source) Homes and Gardens with Project Pythia | — |
| Elena Romashkova | NCAR | Speaker | Climate Model Evaluation Workflow Built on Jupyter Notebooks | — |
| Elliott Sales de Andrade | — | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| Emma Marshall | University of Utah | Speaker | Tidy Geospatial Cubes | — |
| Emmy Li | Anyscale | Tutorial | Scalable machine learning workloads with Ray AI Runtime | — |
| Eric Sager Luxenberg | Stanford University | Tutorial | Controlling Self-Landing Rockets Using CVXPY | — |
| Eric Sager Luxenberg | Stanford University | Speaker | Disciplined Saddle Programming | — |
| Erik Welch | — | Speaker | GraphBLAS for Sparse Data and Graphs | — |
| Francesc Alted | — | Speaker | Fast Exploration of the Milky Way (or any other n-dimensional dataset) | — |
| Fritz Lekschas | Ozette Technologies | Speaker | Interactive Exploration of Large-Scale Datasets with Jupyter-Scatter | — |
| Gajendra Deshpande | — | Speaker | [BoF Room 104] Future of Python Programming Language in the Artificial Intelligence Era | — |
| Gil Forsyth | Voltron Data | Speaker | [BoF Room 103] SciPy 2023 Sprint Prep BoF | — |
| Guen Prawiroatmodjo | Microsoft | Tutorial | Meet your coding best friend: VS Code💖 - A hands-on tutorial on how to get the most out of the world’s most popular Python editor | — |
| Hadley Wickham | — | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| Hannes Mühleisen | DuckDB Labs | Speaker | In-Process Analytical Data Management with DuckDB | — |
| Henry Schreiner III | — | Speaker | [BoF Room 105] Scientific Python Packaging Summit | — |
| Hugo Bowne-Anderson | Outerbounds | Tutorial | Full-stack Machine Learning for Data Scientists | — |
| Ian Thomas | Anaconda | Tutorial | Interactive data visualization with Bokeh | — |
| Inessa Pawson | — | Speaker | Contributor experience - Why it matters | — |
| Inessa Pawson | — | Speaker | [BoF Room 105] Open Source Project Code of Conduct Management and DEI Support | — |
| Isabela Presedo-Floyd | Quansight | Speaker | Accessibility best practices for authoring Jupyter notebooks | — |
| Jack Ireland | NASA | Speaker | Seeing the Sun through the Clouds: Accelerating the SunPy Data Analysis Ecosystem with Dask | — |
| Jacob Schreiber | Stanford University | Speaker | tfmodisco-lite: an attribution-based motif discovery algorithm | — |
| James A. Bednar | Anaconda | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| James A. Bednar | Anaconda | Tutorial | hvPlot and Panel: Visualize all your data easily, from notebooks to dashboards | — |
| James Bourbeau | — | Tutorial | Advanced Dask Tutorial | — |
| James Bourbeau | — | Speaker | [BoF Room 103] PyArrow in pandas and Dask | — |
| Jarrod Millman | — | Speaker | [BoF Room 105] Scientific Python Ecosystem Coordination | — |
| Jeff Wagner | Open Force Field | Speaker | Open Force Field: next-generation force fields with open data, open software, and open science | — |
| Jessica Scheick | — | Tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis | — |
| Jim Kitchen | Anaconda | Speaker | GraphBLAS for Sparse Data and Graphs | — |
| Jim Pivarski | — | Tutorial | Thinking in arrays | — |
| John Kirkham | — | Speaker | New CUDA Toolkit packages for Conda | — |
| John Kirkham | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| John Kirkham | — | Speaker | Zarr: Community specification of large, cloud-optimised, N-dimensional, typed array storage | — |
| Jon Mease | — | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| Jorge Martínez | — | Speaker | What happens when the main maintainer of a project takes a step down? | — |
| Josh Moore | — | Speaker | Zarr: Community specification of large, cloud-optimised, N-dimensional, typed array storage | — |
| Josh Moore | — | Speaker | [BoF Room 104] Where on Earth is my Pixel? | — |
| Juan Nunez-Iglesias | — | Tutorial | image analysis and visualization in Python with scikit-image, napari, and friends | — |
| Juan Nunez-Iglesias | — | Speaker | View, annotate, and analyze multi-dimensional images in Python with napari | — |
| Juan Nunez-Iglesias | — | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| Juan Nunez-Iglesias | — | Speaker | [BoF Room 104] Where on Earth is my Pixel? | — |
| Juanita Gomez | — | Speaker | [BoF Room 105] Scientific Python Ecosystem Coordination | — |
| Juanita Gomez | — | Speaker | [BoF Room 104] Beyond Notebooks: From reproducible to reusable research | — |
| Juanita Gomez | — | Speaker | Scientific Python: from `__init__` to `__call__` | — |
| Jules S. Damji | Anyscale | Speaker | Modern compute stack for scaling large AI/ML workloads | — |
| Julia Signell | — | Tutorial | Advanced Dask Tutorial | — |
| Kevin Tyle | University at Albany | Speaker | Better (Open Source) Homes and Gardens with Project Pythia | — |
| Kira Evans | — | Tutorial | image analysis and visualization in Python with scikit-image, napari, and friends | — |
| Kushal Kolar | — | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| Kushal Kolar | — | Speaker | Ultra fast visualization of large datasets using modern graphics APIs in jupyter notebooks | — |
| Kyle Sunden | Matplotlib | Tutorial | Mosaic Magic with Matplotlib | — |
| Lars Grüter | — | Tutorial | image analysis and visualization in Python with scikit-image, napari, and friends | — |
| Leah Silen | NumFOCUS | Speaker | [BoF Room 105] Open Source Project Code of Conduct Management and DEI Support | — |
| Leo Fang | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Leopold Talirz | — | Tutorial | Meet your coding best friend: VS Code💖 - A hands-on tutorial on how to get the most out of the world’s most popular Python editor | — |
| Lucas Hale | NIST | Speaker | Designing user-friendly APIs for the NIST Interatomic Potentials Repository | — |
| Ludovico Bianchi | — | Tutorial | How the Little Jupyter Notebook Became a Web App: Managing Increasing Complexity with nbdev | — |
| Madicken | — | Speaker | [BoF Room 103] SciPy 2023 Sprint Prep BoF | — |
| Mario | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Mark Raasveldt | — | Speaker | In-Process Analytical Data Management with DuckDB | — |
| Matt Davis | — | Speaker | [BoF Room 103] SciPy 2023 Sprint Prep BoF | — |
| Matt Davis | — | Tutorial | Introduction to Python and Programming | — |
| Matt Haberland | Cal Poly, San Luis Obispo | Tutorial | Resampling and Monte Carlo Methods in SciPy.stats | — |
| Matt Harrison | — | Tutorial | Idiomatic Pandas | — |
| Matt Harrison | — | Speaker | [BoF Room 103] PyArrow in pandas and Dask | — |
| Matthew Barber | Quansight | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Meiirbek Islamov | University of Pittsburgh | Speaker | A Graph-Neural Network-Based model for rapid prediction of Thermal Transport in Metal-Organic Frameworks | — |
| Melissa Weber Mendonça | — | Speaker | Contributor experience - Why it matters | — |
| Michael Droettboom | — | Speaker | [BoF Room 103] CPython performance | — |
| Michael Droettboom | Microsoft | Speaker | Keynote - Open Source Contributors in Space and Time | — |
| Nabil Freij | Bay Area Environmental Research Institute | Speaker | Seeing the Sun through the Clouds: Accelerating the SunPy Data Analysis Ecosystem with Dask | — |
| Nathan Jessurun | — | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| Naty Clementi | Coiled | Tutorial | Advanced Dask Tutorial | — |
| Negin Sobhani | National Center for Atmospheric Research (NCAR) | Tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis | — |
| Nick Langellier | VideaHealth, Inc | Tutorial | Building better data structures, APIs and configuration systems for scientific software using Pydantic | — |
| Nicole Brewer | Arizona State University | Tutorial | How the Little Jupyter Notebook Became a Web App: Managing Increasing Complexity with nbdev | — |
| Niels Bantilan | Union.ai | Speaker | Pandera: Beyond Pandas Data Validation | — |
| Niels Bantilan | Union.ai | Tutorial | A Hands-on Introduction to Production-grade Data Science Orchestration with Flyte | — |
| Noa Tamir | — | Speaker | Contributor experience - Why it matters | — |
| Noa Tamir | — | Speaker | [BoF Room 105] Open Source Project Code of Conduct Management and DEI Support | — |
| Pablo Garcia-Nieto | Chan Zuckerberg Initiative | Speaker | An API for efficient and low-latency access to the largest standardized single-cell data repository by CZ CELLxGENE Discover. | — |
| Paige Martin | — | Speaker | [BoF Room 104] Funding Open Source Software | — |
| Patrick Hoefler | — | Speaker | [BoF Room 103] PyArrow in pandas and Dask | — |
| Pavithra Eswaramoorthy | Quansight | Speaker | Community-first open source: An action plan! | — |
| Pavithra Eswaramoorthy | Quansight | Tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets | — |
| Pavithra Eswaramoorthy | Quansight | Tutorial | Interactive data visualization with Bokeh | — |
| Philipp Schiele | Ludwig Maximilian University of Munich | Tutorial | Controlling Self-Landing Rockets Using CVXPY | — |
| Philipp Schiele | Ludwig Maximilian University of Munich | Speaker | Disciplined Saddle Programming | — |
| Qiusheng Wu | University of Tennessee, Knoxville | Tutorial | An Introduction to Cloud-Based Geospatial Analysis with Earth Engine and Geemap | — |
| Qiusheng Wu | University of Tennessee, Knoxville | Speaker | Interactive Analysis of Satellite Imagery with Earth Engine and Geemap | — |
| Rajeev Jain | Argonne National Laboratory | Speaker | UXarray, a python library for unstructured climate and weather data | — |
| Ralf Gommers | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Rebecca BurWei | Mozilla | Speaker | Subpoenas Less Scary | — |
| Rick Ratzel | NVIDIA | Speaker | New CUDA Toolkit packages for Conda | — |
| Roni Kobrosly | — | Tutorial | Introduction to Causal Inference | — |
| Rumman Chowdhury | Parity Technologies | Speaker | Keynote - Responsible AI in Practice: How far we've come and where we're going | — |
| Ryan May | UCAR/Unidata | Speaker | Building MetPy for the Long Term: Working to Keep an Open Source Project Sustainable | — |
| Sandhya Govindaraju | Enthought | Tutorial | Introduction to Numerical Computing With NumPy | — |
| Sangyub Lee | Mathpresso Inc | Tutorial | SymPy Introductory Tutorial | — |
| Sanket Verma | — | Speaker | Zarr: Community specification of large, cloud-optimised, N-dimensional, typed array storage | — |
| Sarah Kaiser | — | Tutorial | Meet your coding best friend: VS Code💖 - A hands-on tutorial on how to get the most out of the world’s most popular Python editor | — |
| Saul Shanabrook | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Savin Goyal | Outerbounds | Tutorial | Full-stack Machine Learning for Data Scientists | — |
| Scholz Garten, 1607 San Jacinto Blvd | — | Speaker | SciPy Attendee Social Event hosted by Open Source Science (OSSci) | — |
| Scott Henderson | University of Washington | Speaker | Tidy Geospatial Cubes | — |
| Scott Henderson | University of Washington | Tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis | — |
| Sebastian Raschka | Lightning AI | Tutorial | Modern Deep Learning with PyTorch | — |
| SEOGI KANG | — | Speaker | Accelerating the Use of Public Geophysical Data for Recharging California’s Groundwater | — |
| Shin-Rong Tsai | University of Illinois Urbana-Champaign | Speaker | libyt: a Tool for Parallel In Situ Analysis with yt | — |
| Sophia Vargas | Speaker | Diversity Luncheon Keynote: How can we protect vulnerable groups while measuring representation in our communities? | — | |
| Sophia Yang | Anaconda | Tutorial | hvPlot and Panel: Visualize all your data easily, from notebooks to dashboards | — |
| Sophia Yang | Anaconda | Speaker | [BoF Room 103] Python Visualization and App Tools | — |
| Stéfan van der Walt | — | Speaker | [BoF Room 105] Scientific Python Ecosystem Coordination | — |
| Stephan Hoyer | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Stephannie Jimenez Gacha | — | Speaker | Accessibility best practices for authoring Jupyter notebooks | — |
| Stephannie Jimenez Gacha | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Steve Dutcher | University of Wisconsin, Space Science & Engineering Center | Speaker | A Computer Vision (ML) Approach to Classifying Clouds and Aerosols from Satellite Observations | — |
| Steve Greenberg | Speaker | Interactive Analysis of Satellite Imagery with Earth Engine and Geemap | — | |
| Steve Greenberg | Tutorial | An Introduction to Cloud-Based Geospatial Analysis with Earth Engine and Geemap | — | |
| Steven Diamond | Gridmatic | Tutorial | Controlling Self-Landing Rockets Using CVXPY | — |
| Stuart Mumford | — | Speaker | Seeing the Sun through the Clouds: Accelerating the SunPy Data Analysis Ecosystem with Dask | — |
| Tania Allard | — | Speaker | Open Source Sprints [Kickoff in Room 204] | — |
| Tania Allard | — | Speaker | Open Source Sprints [Kickoff in Room 204] | — |
| Tetsuo Koyama | — | Tutorial | 3D Visualization with PyVista | — |
| Thomas J. Fan | Quansight | Speaker | Can There Be Too Much Parallelism? | — |
| Thomas J. Fan | Quansight | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Thomas Nicholas | Lamont Doherty Earth Observatory, Columbia University | Tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis | — |
| Thomson Comer | NVIDIA | Speaker | New CUDA Toolkit packages for Conda | — |
| Timo Metzger | makepath | Tutorial | Interactive data visualization with Bokeh | — |
| Tracy Teal | Posit | Speaker | Scientific and technical publishing with Python and Quarto | — |
| Travis Oliphant | — | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Tyler Reddy | LANL | Speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Valerio Maggio | Anaconda | Tutorial | PPML: Machine Learning on data you cannot see | — |
| Victoria Adesoba | makepath | Tutorial | Interactive data visualization with Bokeh | — |
| Vincent Sutherland | — | Speaker | Using Linear Tracking Data to Estimate Backcountry Recreation Popularity | — |
| Will Barnes | American University | Speaker | Seeing the Sun through the Clouds: Accelerating the SunPy Data Analysis Ecosystem with Dask | — |
| Yarden Cohen | Weizmann Institute of Science | Speaker | vak: a neural network framework for researchers studying animal acoustic communication | — |
| Yuanqing Wang | New York University | Speaker | From Espaloma to SAKE: To brew, distill, and mix force fields with balanced briskness, smoothness, and intricacy. | — |