FAQ
Can I use objects in Code Workspaces?
It is not currently possible to use objects directly in Code Workspaces. User may import datasets that back objects using the Data menu within a workspace.
Can I use PySpark in Code Workspaces?
No. For performing large-scale data transformations, we recommend Foundry applications like Pipeline Builder and Code Repositories that leverage a Spark infrastructure.
Which IDEs are supported by Code Workspaces?
Code Workspaces currently supports JupyterLab® and RStudio® Workbench.
Which packages are not supported by Code Workspaces?
Due to security reasons, the following Python packages are not supported:
- folium
- pandasgui
Contact your Palantir representative if you have any concerns about the packages above.
Can I make API calls in Code Workspaces?
Yes, you can make API calls in Code Workspaces after defining network policies in the Settings menu. Note that the external API must be registered as an approved Network Egress policy in Control Panel.
Why does the code in my repository have JSON formatting?
The Code Repositories application receives code from associated Code Workspaces in an IPython format, which renders the code at a cell-by-cell level in JSON format.
Can I use my own packages?
Yes; see the documentation on importing packages. If your package is hosted on an organizational Conda/PyPI/CRAN channel, it is possible for Foundry to proxy the channel and make it available to your projects. Contact your Palantir representative for more information.
Why does the Code Repository backing my Code Workspace not have a Libraries tab?
To import libraries into your Code Workspace, use the Packages tab located in the left panel of your workspace.
Can I write or edit code in Code Repositories that does not come from my Code Workspace?
Yes, you can edit code directly in Code Repositories when the code originates in Code Workspaces. Once committed, you can use the Sync or Reset changes functionality in the Code Workspace to pick up the remote changes in the Workspace.
Conceptually, you can think of Code Repositories as the version control manager for Code Workspaces, handling pull requests, conflict resolution, and administration, while code development can occur in Code Workspaces.
Why do my colleagues see a different view compared to mine?
For security purposes, users are isolated when working in JupyterLab® or RStudio®. This means each user accessing the same Code Workspace will have their own environment. Collaboration happens through git workflows: if you wish to make your latest code available to colleagues, select Sync Changes to synchronize your changes with the backing code repository and the changes will become available to your colleagues when they select Sync or Reset changes. When multiple users work on the same workspace, we recommend they work on independent branches.
Note that we ignore some files by default using .gitignore to ensure that no data is synchronized with the git repository, and to limit the size of the git repository. We also remove all outputs from JupyterLab® .ipynb files.
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