Interactive Data Visualization in Python With Bokeh

Bokeh prides itself on being a library for interactive data visualization. The graphics are rendered using HTML and JavaScript, and your visualizations are easy to share as an HTML page. You will create a number of visualizations based on a real-world dataset.

The goal of this course is to get you up and running with Bokeh.

You will learn how to:

  • Transform your data into visualizations
  • Customize and organize your visualizations
  • Add interactivity to your visualizations

What’s Included:

Downloadable Resources:

Related Learning Paths:

About Christopher Bailey

Chris is an avid Pythonista and creates video tutorials for Real Python. He is a programmer and data analyst. He creates music under the name Tripnet. Chris lives in Colorado with his wife and two dogs.

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Participant Comments

Avatar image for Michal

Michal on June 15, 2021

Great video course on a cool Python library. Thank you.

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Pygator on Aug. 18, 2019

This set of video tutorials are great! I can already dream up some use cases. Some video series about some image manipulation packages would be great.

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