Pre-installed Package Lists in Python and RStudio

Python

The Python environments are provisioned with a core set of packages. These lists are updated frequently. A full listing of the current packages can be found by:

1. Activating a space session via your secure desktop

2. Selecting the Jupyter tool icon

   

3. Running the code snippet below in any Jupyter cell:

import pkgutil

packages = pkgutil.iter_modules()

for package in packages:

    print(package.name)

RStudio

To use the R programming language in a Space you must:

1. Activate a space session via your secure desktop

2. Select the RStudio tool icon

   

Once you have clicked on the RStudio icon the RStudio workbench will be loaded.

The R environments are provisioned with a core set of packages that can be seen by inspecting the ‘System Library’ listing within the RStudio Packages pane:

Additional packages may also have been made available via a secured CRAN instance. If such an instance is available additional packages can be installed by either:

• The RStudio Packages UI pane, by clicking the 'Install' button and providing the package name in the pop-up modal

• The RStudio console with the command: install.packages(“<package_name>”)

Some R packages require additional OS level dependencies. If you attempt to install a package and it fails due to missing dependencies, contact your platform administrator with the details of your required package for remediation.