Making a (Python) Web App is easy! - posit::conf(2023)

Presented by Marcos Huerta

Making Python Web apps using Dash, Streamlit, and Shiny for Python

This talk describes how to make distribution-free prediction intervals for regression models via the tidymodels framework.

By creating and deploying an interactive web application you can better share your data, code, and ideas easily with a broad audience. I plan to talk about several Python web application frameworks, and how you can use them to turn a class, function, or data set visualization into an interactive web page to share with the world. I plan to discuss building simple web applications with Plotly Dash, Streamlit, and Shiny for Python.

Materials:

Corrections:
In my live remarks, I said a Dash callback can have only one output: that is not correct, a Dash callback can update multiple outputs.

Presented at Posit Conference, between Sept 19-20 2023,
--------------------------
Talk Track: The future is Shiny.
Session Code: TALK-1086