Tutorials¶
Most of the projects listed at PyViz.org contain examples explaining how to solve various problems using that specific tool. This section lists additional in-depth, comprehensive tutorials designed for users new to Python viz, helping them to get started with a variety of different types of plot and situations. Each tutorial should include at least an hour’s worth of work, with links to a repository of runnable materials along with text to describe what to do.
Bokeh tutorial: How to use the native Bokeh API directly to create interactive plots, apps, and dashboards.
HoloViz tutorial: How to use the high-level HoloViz tools from Anaconda to plot gridded, tabular, streaming, large, and graph/network data, focusing on Panel, Datashader, HoloViews, GeoViews, and hvPlot, which build on Bokeh and Matplotlib. [2018 SciPy recording]
Jupyter widgets tutorial: How to make interactive plots, apps, and dashboards using ipywidgets, bqplot, vaex, ipympl, vue, ipysheet, ipyvolume, ipyleaflet, pythreejs, voila, and other ipywidgets-compatible libraries. [2018 SciPy recording]
Matplotlib tutorial: Guide to the building blocks of Matplotlib and how to use them to create many different types of plots. [SciPy 2018 recording]
