Kevin Jolly - Hands-On Data Visualization with Bokeh: Interactive Web Plotting for Python Using Bokeh

Kevin Jolly

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As a formally educated data scientist with a masters degree in data science from the prestigious Kings College London, Kevin works as a data scientist with a digital healthcare startup - Connido Limited in London where he is primarily involved with building the descriptive, diagnostic and predictive analytic pipelines.

He is also the founder of LinearDataa leading online resource in the field of data science which has over 30,000 unique website hits.

Zaim Awang, who is from Malaysia, has been an oil and gas engineer for more than 20 yearsbut a data scientist at heart for just as long. A graduate from the University of Texas in Austin, he used to work for Shell and other companies in different regions. He enjoys solving technical problems. His latest discovery is a new algorithm for pattern prediction that works much better than traditional deep learning for structured data. He is now leading a team at Invigour Energy developing AiSara (for solution approximation with robust algorithms). He welcomes contact at his twitter handle, @zaim_awang.

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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.

This book is well suited for data scientists and data analysts who wish to perform interactive data visualization on their web browsers using the Bokeh library.

A basic knowledge of Python is required in order to understand the content of this book.

, Bokeh Installation and Key Concepts , looks at how to install Bokeh on your PC and how to understand the fundamental concepts that are needed to progress with the rest of the book.

, Plotting Using Glyphs , will teach you how to create visualizations using the building block of BokehGlyphs.

, Plotting with Different Data Structures , explains how to create visualizations using data structures that are found ubiquitously, such as the Pandas DataFrame and the NumPy array.

, Using Layouts for Effective Presentation , explores how to use layouts in order to enhance the aesthetic appeal of your visualizations.

, Using Annotations, Widgets, and Visual Attributes for Visual Enhancement , will teach you how to enhance your plot's interactivity as well as its aesthetics.

, Building and Hosting Applications on the Bokeh Server , goes through how to create and deploy applications that can host interactive visualizations.

, Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots , dives into the advanced topics of Bokeh and sheds light on some of the ways in which you can enhance your interactive plotting experience.

, The Bokeh Workflow A Case Study , comprises a case study that will have you explore data and build an interactive visualization by following a workflow that is tailored for Bokeh!

A basic knowledge of Python is essential. Knowledge of importing packages, and experience of working with NumPy, Pandas, and DataFrames, will help the reader get the most out of this book.

You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.