![]() ![]() You will have gone through a step by step process that starts with understanding what Bokeh actually is and ends with building your very own Bokeh application filled with interactive and visually aesthetic plots. By the end of the book you will be able to create your very own Bokeh application. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh application from scratch. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization. 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. Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python Key Features A step by step approach to creating interactive plots with Bokeh Go from installation all the way to deploying your very own Bokeh application Work with a real time datasets to practice and create your very own plots and applications Book Description Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science.
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