Introduction

This is the website for the “Intro to Shiny for Python” workshop.

While most of these materials are designed to be used in conjunction with the workshop, they also stand alone as an educational resource.

Stock photo image of the Seattle skyline, with logos for both Shiny and Python

Background

This workshop is aimed at people who are somewhat familiar with doing data analysis in Python, but do not have much of a background in Shiny.

If you are brand new to Python we recommend spending a bit of time familiarizing yourself with the following topics before the workshop:

  • How to install Python packages in a virtual environment
  • How to do basic data manipulation with pandas or polars
  • How to draw plots
  • How to clone a repository with git

Pre-requisites

Please ensure you have followed the instructions in the pre-requisites section

On the day

Time Session
09:00 - 10:30 Session 1
10:30 - 11:00 Coffee break
11:00 - 12:30 Session 2
12:30 - 13:30 Lunch break
13:30 - 15:00 Session 3
15:00 - 15:30 Coffee break
15:30 - 17:00 Session 4

Acknowledgements

The origin of this material was a workshop taught by Gordon Shotwell and Joe Cheng at Posit::conf(2023).

It has since been modified with contributions by Garrett Grolemund and Andrie de Vries.