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Synopsis
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.
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About the Author
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.
"About this title" may belong to another edition of this title.
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Hands-On Data Visualization with Bokeh
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Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh
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