Interactive Data Visualization in Python With Bokeh

Interactive Data Visualization With Bokeh and Python

Christopher Bailey
Christopher Bailey 26 Lessons 2h 7m intermediate data-science data-viz
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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:

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Welcome to Bokeh

9 Lessons 31m

  1. 1. Intro and Bokeh Course Overview03:49
  2. 2. From Data to Visualization02:48
  3. 3. Setting Up Your Bokeh Environment02:55
  4. 4. Generating Your First Figure to a Static HTML File03:15
  5. 5. Generating Your First Figure to a Jupyter Notebook01:59
  6. 6. Getting Your Figure Ready for Data04:46
  7. 7. Drawing Data With Glyphs04:16
  8. 8. Multiple Glyphs and Adding a Legend06:45
  9. 9. Bokeh Course: Section 1 Review01:21

Working With Data and Layouts

8 Lessons 38m

  1. 1. Bokeh Course: Section 2 Overview01:09
  2. 2. A Quick Aside About Data03:59
  3. 3. Using the ColumnDataSource Object09:53
  4. 4. Using GroupFilter and CDSView04:22
  5. 5. Multiple Visualizations Using Column Layout07:59
  6. 6. GridPlot Layout05:23
  7. 7. Tabbed Layout With Panels04:10
  8. 8. Bokeh Course: Section 2 Review01:09

Adding Interaction

9 Lessons 57m

  1. 1. Bokeh Course: Section 3 Overview01:08
  2. 2. Configuring the Toolbar03:19
  3. 3. Selecting Data Points10:45
  4. 4. Adding Hover Actions03:24
  5. 5. Emphasizing With Hover Inspections02:53
  6. 6. Linking Axes12:56
  7. 7. Linking Selections10:45
  8. 8. Highlighting Data Using the Legend08:14
  9. 9. Bokeh Course: Recap and Review03:59
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About Christopher Bailey

Christopher Bailey is the creator and host of the Real Python podcast. He is a programmer and data analyst, working in banking, marketing and environmental science. Christopher lives in Colorado with his wife and two dogs.

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Each tutorial at Real Python is created by a team of developers so that it meets our high quality standards. The team members who worked on this tutorial are:

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Participant Comments

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Michal

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

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Pygator

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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