Work Environment¶
Learn how to set up your favorite IDE for use with Dataiku DSS, as well as isolated code environments and Git integration for Dataiku project libraries.
Tip
To validate your knowledge of this area, register for the the Shared Code course, part of the Developer learning path, on the Dataiku Academy.
Articles¶
- Using Jupyter Notebooks in DSS
- How to Edit Dataiku Recipes and Plugins in Visual Studio Code
- How to Edit Dataiku Recipes and Plugins in PyCharm
- How to Edit Dataiku Recipes and Plugins in Sublime
- How to Edit Dataiku Recipes in RStudio
- Setting a Code Environment
- Cloning a Library from a Remote Git Repository
- How-To: Import a Notebook from GitHub
- Dataiku DSS Memory Optimization tips: Backend, Python/R, Spark jobs