Learn By Example: Bokeh

Bokeh is an open-source, easy-to-use and highly accessible library in Python which allows even developers with just basic programming ability to get up and running with complex plots and graphs. Far easier to use than competing frameworks such as Matplotlib, Bokeh is especially compelling because of how easy it is to build interactivity into your visualizations. Explore relationships in your data without in-depth programming knowledge, extract insights which can be used for further analysis on your data.

Here is what this course covers:

Layout and axes: Structure your visuals in the right format

Markers and lines: Customize the look and feel of basic line plots

Multi-level categorical data: Plot stacked graphs and bar charts with multi-level data

Network graphs: Visualize nodes and edges in network graphs

Geographical data: Use Bokeh's built-in libraries to view maps and plot geo-location data

Interactive graphs: Add interactivity to legends, tooltips and toolbars, use plot tools to play with and modify data

Bokeh server: Use the model-view-controller paradigm to separate data and visualization to build custom, interactive plots

This course is built around hands on demos, built to explicitly explain concepts underpinning each topic.

Software used: Python 3, Bokeh Python APIs