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Hands-on Data Visualization with Bokeh | 1. Bokeh Installation and Key Concepts
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This is the “Code in Action” video for chapter 1 of Hands-on Data Visualization with Bokeh by Kevin Jolly, published by Packt. It includes the following topics:
00:00 Verifying your installation
Hands-on Data Visualization is available from:
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.
Connect with Packt:
Video created by Kevin Jolly
00:00 Verifying your installation
Hands-on Data Visualization is available from:
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.
Connect with Packt:
Video created by Kevin Jolly