Repo Folder Operations

The Repo folder is a default folder created under the Workspace tab. It opens by default while accessing the Workspace tab.

Overview

The Repo folder in the Data Science Lab (DSLab) module allows users to manage files, notebooks, and folders for their data science projects. This section provides the steps to perform various operations within the Repo folder:

• Creating a Notebook

• Adding a Folder

• Importing Notebooks

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Create a Notebook in the Repo Folder

Navigation path: Data Science Lab > Project > Workspace > Repo Folder > Elipsis > Create Notebook

1. Navigate to the Workspace page within a Data Science Project.

2. Select the Repo folder within the workspace.

3. Click the Elipsis (three-dot) icon next to the Repo folder.

4. A Context Menu will appear.

5. Select the Create option from the context menu.

6. The Create Notebook drawer opens, allowing you to configure the notebook settings.

Note: For detailed steps on creating a notebook, refer to the Create Notebook page.

Add a Folder to the Repo Folder

Navigation path: Data Science Lab > Project > Workspace > Repo Folder > Elipsis > Add Folder

1. Navigate to the Workspace page within a Data Science Project.

2. Select the Repo folder within the workspace.

3. Click the Elipsis (three-dot) icon next to the Repo folder.

4. A Context Menu will appear.

5. Select the Add Folder option from the context menu.

6. The Add Folder dialog box will open.

   1. Provide a name for the new folder.

   2. Click Yes to confirm folder creation.

7. A confirmation notification will appear once the folder is created.

8. The new folder will now be listed under the Repo folder.

9. Expand the Repo folder to see the newly created folder.

Import a Notebook into the Repo Folder

Navigation path: Data Science Lab > Workspace > Repo Folder > Elipsis > Import

1. Navigate to the Workspace page in Data Science Lab.

2. Select the Repo folder within the workspace.

3. Click the Elipsis (three-dot) icon next to the Repo folder.

4. A Context Menu will appear.

5. Select the Import option from the context menu.

6. The Import Notebook page will open, allowing you to import a .ipynb file from your system.

7. Follow the prompts to select and upload the notebook file.

Note: For detailed steps on importing a notebook, refer to the Import Notebook page.

• Created or Imported Notebooks will get some attributed Actions. The Notebook Actions are detailed further in the Data Science Notebook section of this documentation.