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Bokeh Tutorial

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Bokeh Tutorial


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. 

Table of Contents

  1. Introduction
  2. Environment Setup
  3. Getting Started
  4. Jupyter Notebook
  5. Basic Concepts
  6. Plots with Glyphs
  7. Area Plots
  8. Circle Glyphs
  9. Rectangle, Oval and Polygon
  10. Wedges and Arcs
  11. Specialized Curves
  12. Setting Ranges
  13. Axes
  14. Annotations and Legends
  15. Pandas
  16. ColumnDataSource
  17. Filtering Data
  18. Layouts
  19. Plot Tools
  20. Styling Visual Attributes
  21. Customising legends
  22. Adding Widgets
  23. Server
  24. Using Bokeh Subcommands
  25. Exporting Plots
  26. Embedding Plots and Apps
  27. Extending Bokeh
  28. WebGL
  29. Developing with JavaScript
You will get a PDF (1MB) file