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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):

Kevin Jolly

View More author details

Table of Contents (10) Chapters

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

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Preface

Bokeh is an open source, interactive, data visualization package in Python that allows users to create interactive and beautiful visualizations that are both statistically significant and aesthetically pleasing.

This book aims to provide you with the tools needed to get started with Bokeh and to create plots that can tell a story through interaction.

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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.

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