We will walk through a high level introduction to Docker and work through two use cases focused on reproducibility and model deployment. Working Docker files and python code will be provided. In this tutorial we will cover:

• Benefits of using Docker as part of your workflow.
• Anatomy of a Docker file.
• Containers and registries: build a Docker container, push and pull from DockerHub.
• How to set up your development environment on any machine using Docker.
• How to deploy a simple sklearn model using flask and Docker.

Attendees will need: Docker, git.

Please install both docker and git prior to the tutorial.