Interactive Web Plotting with Bokeh
A collection of Jupyter notebooks providing examples and tutorials for the Bokeh interactive visualization library.
What is Interactive Web Plotting with Bokeh?
Bokeh-notebooks is a collection of Jupyter notebooks that provide examples and tutorials for using the Bokeh interactive visualization library. It helps users learn how to create elegant, high-performance interactive plots for large datasets directly within IPython/Jupyter environments. The repository serves as a practical learning resource with runnable code and guided instructions.
Data scientists, researchers, and developers who use Python and Jupyter notebooks for data visualization and want to leverage Bokeh for creating interactive web-based plots.
It offers a hands-on, immediately executable way to learn Bokeh, with examples that demonstrate its capabilities for large-scale data visualization and interactivity, all within the familiar Jupyter notebook interface.
Overview
Interactive Web Plotting with Bokeh in IPython notebook
Use Cases
Best For
- Learning Bokeh through interactive examples in Jupyter
- Creating interactive visualizations for large datasets in Python
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