This tutorial will help you in understanding about Bokeh which is a data visualization library for Python. Here, you will learn about how to use Bokeh to create data applications, interactive plots and dashboards.

This tutorial is designed for software programmers who want to learn the basics of Bokeh and its programming concepts in simple and easy way. This tutorial will give you enough understanding on various functionalities of Bokeh with illustrative examples.

Before proceeding, we assume that the reader has basic understanding in programming language Python and interactive data visualization.

Course Content

Bokeh Tutorial
Bokeh Home
Bokeh Introduction
Bokeh Environment Setup
Bokeh Getting Started
Bokeh Jupyter Notebook
Bokeh Basic Concepts
Bokeh Plots with Glyphs
Bokeh Area Plots
Bokeh Circle Glyphs
Bokeh Rectangle, Oval and Polygon
Bokeh Wedges and Arcs
Bokeh Specialized Curves
Bokeh Setting Ranges
Bokeh Axes
Bokeh Annotations and Legends
Bokeh Pandas
Bokeh ColumnDataSource
Bokeh Filtering Data
Bokeh Layouts
Bokeh Plot Tools
Bokeh Styling Visual Attributes
Bokeh Customising legends
Bokeh Adding Widgets
Bokeh Server
Bokeh Using Bokeh Subcommands
Bokeh Exporting Plots
Bokeh Embedding Plots and Apps
Bokeh Extending Bokeh
Bokeh WebGL
Bokeh Developing with JavaScript
Bokeh Quick Guide
Bokeh Useful Resources
Discuss Bokeh

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