Engines
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.
