This is the code repository for Hands-On Data Visualization with Bokeh, published by Packt.
Interactive web plotting for Python using Bokeh
Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free. This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization.
This book covers the following exciting features:
- Installing Bokeh and understanding its key concepts
- Creating plots using glyphs, the fundamental building blocks of Bokeh
- Creating plots using different data structures like NumPy and Pandas
- Using layouts and widgets to visually enhance your plots and add a layer of interactivity
- Building and hosting applications on the Bokeh server
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
#Output the plot
output_file('second_plot.html')
show(plot2)
Following is what you need for this book: This book is well suited for data scientists and data analysts who want to perform interactive data visualization on their web browsers using Bokeh. Some exposure to Python programming will be helpful, but prior experience with Bokeh is not required.
With the following software and hardware list you can run all code files present in the book (Chapter 1-8).
| Chapter | Software required | hardware required |
|---|---|---|
| 1-8 | Python 3.6 Bokeh 0.12.16 | MacOS/Windows/Linux |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Click on the following link to see the Code in Action:
Kevin Jolly As a formally educated data scientist with a master’s degree in data science from the prestigious King’s 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 LinearData- a leading online resource in the field of data science which has over 30,000 unique website hits.
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