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Hands-On Data Visualization with Bokeh

You're reading from   Hands-On Data Visualization with Bokeh Interactive web plotting for Python using Bokeh

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781789135404
Length 174 pages
Edition 1st Edition
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Author (1):
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Kevin Jolly Kevin Jolly
Author Profile Icon Kevin Jolly
Kevin Jolly
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Table of Contents (10) Chapters Close

Preface 1. Bokeh Installation and Key Concepts FREE CHAPTER 2. Plotting using Glyphs 3. Plotting with different Data Structures 4. Using Layouts for Effective Presentation 5. Using Annotations, Widgets, and Visual Attributes for Visual Enhancement 6. Building and Hosting Applications Using the Bokeh Server 7. Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots 8. The Bokeh Workflow – A Case Study 9. Other Books You May Enjoy

Building and Hosting Applications Using the Bokeh Server

Bokeh gives its users the flexibility and convenience of hosting real-time applications on its own servers. The Bokeh Server serves as a bridge connecting Python and the browser in which you can host your applications. In fact, you have been using the Bokeh Server all this time while you were creating your plots in a Jupyter Notebook by following the code in the chapters before this!

One of the ways you can use the Bokeh Server is to deploy applications that have interactivity locally on your machine, which you can then share with your colleagues.

In this chapter, you will be given an:

  • Introduction to the Bokeh Server
  • Introduction to building a Bokeh application
  • Introduction to deploying the Bokeh application

This chapter aims to build your fundamentals with respect to the Bokeh Server so that we can build a beautiful...

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