Tutorial given at PyHEP21 on July 6th, 14:30 CEST.

Description: We discuss and justify the application of Python's Bokeh library to non-interactive and interactive visualization. A comparison between Bokeh and some widely used alternatives is made. We include a tutorial covering the key aspects necessary to create virtually any interactive plot needed in HEP, and provide custom examples and code.

The material includes three notebooks:

• Motivation.ipynb: why bokeh is very competitive
• InteractivePlotting.ipynb: how to perform interactions with bokeh
• CustomExample1.ipynb: example of exploratory data analysis

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Plot embedding

bokeh plots can be easily embedded into websites (check the gh-pages branch):

• see the tutorial example here.
• an additional example (CustomExample2.py, referring to astrophysical spectra generation) is provided in pure python format only given its large size. To visualize its output click here.
• many great examples by the active bokeh community:
  • Bioinformatics
  • COVID interactive paper
  • Fitness
  • Mortality rates
  • Simple simulation