Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Homepage
  • List Projects
  • List Feature Stores
  • Create
    • Create Project
      • Container Status Message
    • Create Feature Store
  • Registered Models and APIs
  • Settings
  • Trash
  • Tabs for a DSL Project
    • Workspace
      • Workspace Folders
        • Repo Folder Attributes
        • Repo Folder Attributes for a Repo Sync Project
        • Utils Folder Attributes
          • Utility Actions
        • Files Attributes
      • Working with the Workspace tab
        • Create
        • Import
          • Importing Notebook
          • Pull from Git
        • Adding File and Folders
      • Linter
      • Git Console
      • Adjustable Repository Panel
    • Data
      • Adding Data
      • Data List Page
    • Model
      • Import Model
      • Explainer Generator
      • Export to GIT/ Model Migration
      • Share a Model
      • Register a Model
      • Unregister a Model
      • Register a Model as an API Service
      • Delete a Model
    • AutoML
      • Creating AutoML Experiment
      • AutoML List Page
        • View Explanation
          • Model Summary
          • Model Interpretation
            • Classification Model Explainer
            • Regression Model Explainer
            • Forecasting Model Explainer
          • Dataset Explainer
  • Data Science Notebook
    • Preview File
    • Save as Notebook
    • .ipynb File Cells
      • Using a Code Cell
      • Using a Markdown Cell
        • Expanding and Collapsing Markdown Cell
      • Using an Assist Cell
    • Resource Utilization Graph
    • Taskbar
    • Actions Icons from Header
    • Notebook Actions
      • Register
        • Export
        • Register as a Job
      • Notebook Version Control
      • Share
      • Delete
      • Information
  • Model Creation using Data Science Notebook
  • Notebook Operations
    • Data
      • Reading Data
      • Copy Path Functionality
    • Secrets
    • Algorithms
    • Transforms
    • Artifacts
    • Variable Explorer
    • Writers
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  1. Tabs for a DSL Project
  2. Workspace
  3. Working with the Workspace tab
  4. Import

Importing Notebook

PreviousImportNextPull from Git

You can bring your Python script to the Notebook framework to carry forward your Data Science experiment.

Please Note: The Import option appears for the Repo folder.

The Import functionality contains two ways to import a Notebook.

  • Import Notebook

  • Pull from Git

The users can seamlessly import Notebooks created using other tools and saved in their systems.

Please Note: The downloaded files in the .ipynb format only are supported by the Upload Notebook option.

Check out the given illustration on how to import a Notebook.

  • Navigate to the Projects tab.

  • Click the View icon for an activated project.

  • The next page opens displaying all the related tabs.

  • The Workspace tab opens by default.

  • Click the Import option from the Workspace tab.

  • The Import Notebook page opens.

  • Select the Import Notebook option.

  • Provide the following information.

    • Notebook Name

    • Description (optional)

  • Click the Choose File option.

  • Select the IPYNB file from the system and upload it.

  • The selected file appears next to the Choose File option.

  • Click the Save option.

  • The Notebook infrastructure opens with the given name for the recently uploaded Notebook file. It may take a few seconds to save the uploaded Notebook and start Kernel for the same.

  • The following consecutive notification messages will appear to ensure the user that the Notebook is saved, uploaded, and started.

  • The same is mentioned by the status updates on the Notebook header (as highlighted in the given image).

  • The uploaded Notebook is listed on the left side of the page.

Please Note: The Imported Notebook will be credited with some actions. Refer to the Notebook Actions page to know it in detail.

Importing a Notebook