Most all Python coders are familiar with matplotlib and/or Seaborn but morn at the lack of interactivity with their graphical exploration of their data. Bokeh is an answer to this problem and so much more as not only does it provide interactivity, quick and easily, to your visual needs but it also targets web browsers for presentation.
In this hands on workshop we will work in Jupyter Lab (the next generation of Jupyter Notebooks) to create many different types of interactive plots. As we work through these visualizations we will work towards building an advanced, multi-plot, fully interactive, scientific visualization dashboard which we will display live in a browser.
Skill Level: While this is a productive introduction to Bokeh I recommend that you are comfortable with the basics of Python including writing and calling functions as I will assume you are comfortable enough with the concepts of Python to just concentrate on using Bokeh.
Requirements: This is a hands on tutorial. If you wish to follow along you should have a python distribution (its HIGHLY recommended to use Python 3.v as Python2 will no longer be maintained after 2020) installed on your laptop. If you do not have Python installed I recommend looking at Anaconda (
https://anaconda.org/anaconda/python). Make sure you have access to Jupyter Lab (the next generation of Jupyter Notebooks) and that you have installed the Bokeh package (
https://bokeh.pydata.org/en/latest/docs/installation.html). We will not take time to deal with installation issues once the workshop starts. If you have problems with your setup please contact me at
tdunn@colorado.edu.
