Library

Data Visualization with Bokeh

67-minute Python Course

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About this Course

Learn how to use the Bokeh library to generate interactive charts, graphs, and other visualizations using Python. We'll explore a world population data set and see how to generate different charts using this powerful library.

What you'll learn

  • Bokeh library
  • ColumnDataSource
  • Chart Legends and HoverTools
  • Interactivity with charts

Getting and Displaying Data

Before we can utilize Bokeh to visualize data we need to know how to get it into a Bokeh friendly format. There are lots of different ways to use and display the data as well, so we need to make sure to show what our data means.

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Interactive Visualization

Enhancing charts, graphs, and plots with interactivity makes for a better user experience.

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Teacher

  • Ken W. Alger

    Ken has a long history around computers starting with early Commodore PETs and VIC-20s. He enjoys discussing programming and how to get started in the tech industry and is a MongoDB Certified Developer.

    He lives in Oregon with his wife and three children. He can be found most places online @kenwalger.

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