The notebooks in Analytics Workbench provide a helpful mechanism to expand its capabilities, using your own custom code, or other third-party code. You may bring utilities from the Java, Scala and Python languages into your notebook. This tutorial introduces and explores the topic. Please note that the .zip archive here contains two files: the JSON notebook itself, and a sample JAR file that may be used to complete the tutorial.
Need help downloading and installing? Read: How to Use Sample Notebooks from the Community.