New Features and Changes in Cloudera Data Science Workbench 1.3.0

Major features and updates for Cloudera Data Science Workbench.

Added support for SUSE Linux Enterprise Server 12 SP3.
Site administrators can now add template projects that are customized for their organization's use-cases.
Version 1.3 introduces a new environment variable for Python 3 sessions called PYSPARK3_PYTHON. Python 2 sessions will continue to use the default PYSPARK_PYTHON variable. This will allow you to configure distinct variables for Python 2 and Python 3 applications.
In the Cloudera Manager CDSW service, the Wildcard DNS Domain property has been renamed to Cloudera Data Science Workbench Domain.
Output for the cdsw version command now includes the type of deployment you are running – RPM or CSD.
Added log4j and spark-defaults sample configuration to the PySpark and Scala template projects.