Interactive Data Visualization With Bokeh and Python

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

Christopher Bailey is the creator and host of the Real Python podcast. He also manages the video course pipeline, coordinating with the video course creators and our in house editor. He is a programmer and data analyst.

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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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