User Environments

Resources¶

These are available to each user:

• RAM: 2 GB

• CPU: 1

• Storage Limits: TBD (Flexible based on course needs)

Kernels¶

The base image includes both Python and R kernels.

Development Environments¶

• JupyterLab

• Jupyter Notebook

• VS Code

• RStudio

• Shiny

Python Packages¶

The following Python packages are pre-installed. Versions are available in the repository:

• datascience

• jupyter-shiny-proxy

• jupysql

• matplotlib

• numpy

• openpyxl

• otter-grader

• pandas

• plotly

• scikit-learn

• scipy

• seaborn

• statsmodels

R Packages¶

The following R packages are pre-installed. Versions are available in the repository:

• gdalcubes

• mapgl

• minioclient

• rstac

• sf

• stars

• terra

• tidyverse