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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

Summary

This chapter has given you the exact set of steps required for installing Bokeh on your local machine. It has also given you a glimpse of the key terms that you'll run into as you work your way through this book.

Now that Bokeh has been successfully installed on your local machine, you can open up a new Jupyter Notebook to work on your first plots with Bokeh!

In the next chapter, you will learn how to create your very first plot using glyphs; you'll see how it lays the foundation for plotting using Bokeh.

You have been reading a chapter from
Hands-On Data Visualization with Bokeh
Published in: Jun 2018
Publisher: Packt
ISBN-13: 9781789135404
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