Provides overview, installation, set up, configuration, and customization information for Cloudera Data Science Workbench engines.

Legacy Engines

Provides an overview of engines and walks you through some of the ways you can customize engine environments to meet the requirements of your users and projects.

Engine Configuration

Describes how to configure and manage engines in Cloudera Data Science Workbench.

Engine Dependencies

Describes the availabile options for mounting a project's dependencies into its engine environment.

Environment Variables

Provides a description of engine environment variables and how to use them to customize your experience with Workbench console.

Package Libraries

Describes how to install and use additional libraries for specific project versions.

Extensible Engines

Describes how to create and install customized engine images.

Engines Packaging

Provides a list of packages included in the Python and R kernels of the base engine that ships with each release of Cloudera Data Science Workbench.