title	emoji	colorFrom	colorTo	sdk	pinned	license	app_port
Streamlit Docker	🐨	indigo	red	docker	false	apache-2.0	8501

Introduction to Streamlit with Docker

Overview

Location: Rexburg, Idaho When: July 16, 2024

This material uses Polars and focuses Streamlit and dashboarding to introduce the data science app development process.

I am hosting this repo on Github and Hugging Face.

Installing the tools

We will need Visual Studio Code and Python installed for this short course. Each tool has additional packages/extensions that we will need to install as well.

Visual Studio Code Extensions

You can use Managing Extensions in Visual Studio Code to learn how to install extensions. We will use Python - Visual Studio Marketplace extension heavily. Managing Extensions in Visual Studio Code provides more background on extensions if needed.

Repo Navigation

guides folder

The guides folder has cheat sheets for polars and streamlit

scripts_build folder

The scripts_build folder has the munging scripts that built the data for the app we will explore.

Other key files

• The slides.html is a Remark Slides presentation on Dashboarding. You can read more at remark_slides.md. The slides are embedded in the default Streamlit app for this repository.
• Dockerfile is the build script for our Docker Image
• docker-compose.yml provides an easy way to start our docker container. Docker Compose is 'the key to unlocking a streamlined and efficient development and deployment experience.'
• requirements.txt is run from the Dockerfile and installs the needed Python packages.
• README.md is this file. The YAML at the top is necessary for the Streamlit app to work correctly. Specifically the app_port: 8501 is needed. All other information can and should be manipulated.
• [streamlit.py] is our Streamlit app.
• The remaining files are data files.

Final notes

Here is how to sync a Github repo with Hugging face.

• Sync with Github Actions