Software

The following table provides a list of the software used during the course and information on where to obtain it or how to install it.

The virtual machines used in this course ran on E1 Amazon instances (O.S. Ubuntu22.04).

Specs: 4 vCPU, 16 GB RAM, 300 GB Disk

SoftwareURL for software / version / installation
Rhttps://posit.co/download/rstudio-desktop/
RStudiohttps://posit.co/products/open-source/rstudio/
uvhttps://docs.astral.sh/uv/
Note: With uv installed, you should be able to do a uv init and uv add pandas marimo
Chrome browserhttps://support.google.com/chrome/a/answer/9025903?hl=en
Visual Studio Codehttps://code.visualstudio.com/docs/setup/linux