To make your Bokeh plots truly interactive, explore Bokeh's widgets and tools. Use sliders, dropdown menus, or input boxes to allow viewers to change variables in the plot dynamically.

ipywidgets are interactive widgets for jupyter-notebooks and Ipython Kenel. Users can control or visualize changes in their data. It makes learning fun and easy. Users can immidiately see how changing ...

In this training, we will focus on creating unique and interactive visualizations. We will learn how to make our code block outputs interactive for the end user. ⚠️ Note: An active internet connection ...

Python provides different visualization packages that help in creating different types of charts, graphs, and plots. Pygal is an open-source python library that not only creates highly interactive ...

To get started building the interactive bias measuring and mitigation plots, we first must import the necessary libraries and data. We will be using the Holistic AI Library to implement a set of ...