Content and resources for plotcon's Plotly and Python Masters Workshop.
This is a rough outline of the workshop's contents. If you would like to go over any material in particular, please reach out to chris@plot.ly.
-
- Basic charting
- Interactive charting offline and in Jupyter notebooks
- Plotting dataframes with Pandas
- Advanced plotting:
- Animations
- Dropdowns
-
dash - "R Shiny for Python"
- Why Dash? Add user interfaces to your python data analysis
- Creating your first Dash app
- Publishing Dash apps
- Adding D3.js Plotly charts
- Advanced callbacks: Binding interactivity to button clicks, hover events in graphs, drilldowns, and more
- Showcase
- Plotting big data with Dash
- Interfacing to parameters in data analysis routines with dropdowns, sliders, buttons
- Advanced interactive reporting
