Sophia Yang
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.
Sessions
This tutorial will show you how to use the Pandas or Xarray APIs you already know to interactively explore and visualize your data even if it is big, streaming, or multidimensional. Then just replace your expression arguments with widgets to get a web app that you can share as HTML+WASM or backed by a live Python server. These tools let you focus on your data rather than the API, and let you build linked, interactive drill-down exploratory apps without having to run a web-technology software development project, which you can then share without becoming an operations specialist.
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!