The PyData ecosystem is rich with tools for working with and visualizing data. Until recently, it has been difficult to put these tools together into a shareable application to let non-Python users explore and make use of the data. The new tools, Panel (https://panel.holoviz.org), Voila (https://github.com/voila-dashboards/voila), and Streamlit (https://streamlit.io), make it simpler to build, adapt, and explore your data, moving seamlessly between Jupyter notebooks and deployed web applications.
In this tutorial, we will be using Panel to add widgets and layouts to the output from just about any plotting program, and then we will show you how to share the result as a fully standalone application. You should walk away knowing you can very easily make any of your analyses interactive and shareable, in just a few lines of code!
Target audience:
Intermediate coders or data scientists (anyone comfortable with basic Pandas or Numpy or Jupyter).
7:30 pm - 8:20 pm CST: Connect and assemble widgets and link widgets to functions followed by building more complex panels and creating multiple interlinked panes
Dr. Jim Bednar is a Solutions Architect at Anaconda. He is also an Honorary Fellow in the School of Informatics at the University of Edinburgh, Scotland. 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 and about software development. Dr. Bednar manages the open-source Python projects HoloViews, ImagGen, Param, and Datashader. Prior to joining Anaconda, Dr. Bednar was a lecturer and researcher in Computational Neuroscience at the University of Edinburgh, Scotland, as well as a software and hardware engineer at National Instruments.
