SciPy 2023

[BoF Room 103] Python Visualization and App Tools
07-13, 18:30–19:25 (America/Chicago), Classroom 103

Each new SciPy brings even more tools for data visualization and for building data-rich scientific applications and dashboards. This BoF brings together maintainers of Python tools for data visualization and building apps to help make sense of this complex landscape for users and to highlight new developments, trends, and opportunities. Join us and stay ahead of the curve!



Sophia Yang is a Senior Data Scientist and a Developer Advocate at Anaconda. She is passionate about the data science community and the Python open-source community. She is the author of multiple Python open-source libraries such as condastats, cranlogs, PyPowerUp, intake-stripe, and intake-salesforce. She serves on the Steering Committee and the Code of Conduct Committee of the Python open-source visualization system HoloViz. She also volunteers at NumFOCUS, PyData, and SciPy conferences. She holds an M.S. in Computer Science, an M.S. in Statistics, and a Ph.D. in Educational Psychology from The University of Texas at Austin.

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Bane Sullivan, co-creator of PyVista, is a Research Software Engineer working at the intersection of geoscience, visualization, and data science.

Bane is a geophysicist/hydrologist by training and has been working to grow PyVista's adoption within the subsurface geoscience communities.

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Jim Bednar is the Director of Custom Services at Anaconda, Inc. Dr. Bednar holds a Ph.D. in Computer Science from the University of Texas, along with degrees in Electrical Engineering and Philosophy. He has published more than 50 papers and books about the visual system, software development, and reproducible science. Dr. Bednar manages the HoloViz project, a collection of open-source Python tools that includes Panel, hvPlot, Datashader, HoloViews, GeoViews, Param, Lumen, and Colorcet. Dr. Bednar was a Lecturer and Reader in Computational Neuroscience at the University of Edinburgh from 2004-2015, and previously worked in hardware engineering and data acquisition at National Instruments.

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