Intro to Docker for Data Science
This workshop introduces Docker and explains the motivation for containerized environments in Data Science. You will first learn what Docker is, and how it differs from traditional virtual machine-based approaches. Then, we will go through hands-on examples, such as creating and running a custom Docker image, spinning up a Jupyter image, and deploying a model to production.
In order to follow along with the hands-on examples, please make sure to install Docker Desktop before the workshop. The link can be found here: https://www.docker.com/get-started
Slides: https://bit.ly/3ms7ThS