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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

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781789135404

Length 174 pages

Edition 1st Edition

Languages

Python

Tools

Bokeh

Concepts

Data Visualization

Author (1):

Jolly

View More author details

Table of Contents (16) Chapters

Title Page

Copyright and Credits

Dedication

Packt Upsell

Contributors

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

1. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Matplotlib for Python Developers - Second EditionAldrin Yim, Claire Chung, Allen Yu

ISBN: 978-1-78862-517-3

Learn how to clean your data and ready it for analysis
Implement the popular clustering and regression methods in Python
Train efficient machine learning models using decision trees and random forests
Visualize the results of your analysis using Python's Matplotlib library
Use Apache Spark's MLlib package to perform machine learning on large datasets

matplotlib Plotting CookbookAlexandre Devert

ISBN: 978-1-84951-326-5

Discover how to create all the common plots you need
Enrich your plots with annotations and sophisticated legends
Take control of your plots and master colors, linestyle, and scales
Add a dimension to your plots and go 3D
Integrate your graphics into your applications
Automate your work and generate a large batch of graphics
Create interactive plots with matplotlib
Combine your plots to create sophisticated visualizations

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Authors (1)

Jolly

Jolly

Kevin Jolly is a formally educated data scientist with a master's degree in data science from the prestigious King's College London. Kevin works as a statistical analyst with a digital healthcare start-up, Connido Limited, in London, where he is primarily involved in leading the data science projects that the company undertakes. He has built machine learning pipelines for small and big data, with a focus on scaling such pipelines into production for the products that the company has built. Kevin is also the author of a book titled Hands-On Data Visualization with Bokeh, published by Packt. He is the editor-in-chief of Linear, a weekly online publication on data science software and products.

See other products by Jolly

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