Training session in DockerΒΆ

In these sessions we will cover various aspects of Docker containers for data science applications. Starting with the basics of pulling images from Docker Registries, running Docker containers locally and on cloud, and managing your data in a container using volumes. Topics include Docker installation, pulling and running pre-built Docker containers, and deploying browser-based applications (like Jupyter and RStudio) with Docker.

In the advanced session, you will modify an existing container by installing your own science libraries or packages. Topics include pulling Docker containers from public and private registries, automated Docker image building from GitHub repositories, managing data in Docker containers, Docker Compose for building multiple Docker containers, amd improving your data science workflows using Docker containers.