Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Data Science Lab Quick Start Flow
  • Project
    • Environments
    • Creating a Project
    • Project List
      • View
      • Keep Multiple Versions of a Project
      • Sharing a Project
      • Editing a Project
      • Activating a Project
      • Deactivating a Project
      • Deleting a Project
    • Tabs for a Data Science Lab Project
      • Tabs for TensorFlow and PyTorch Environment
        • Notebook
          • Ways to Access Notebook
            • Create
            • Import
              • Importing a Notebook
              • Pull from Git
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Utility
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Model Filter
              • Artifacts
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT
              • Register as Job
              • Notebook Version Control
              • Sharing a Notebook
              • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Create Experiment
            • Data Preparation
            • Delete
        • Utility
          • Pull from Git (Utility)
        • Model
          • Model Explainer
          • Import Model
          • Export to GIT
          • Register a Model
          • Unregister A Model
          • Register a Model as an API Service
            • Register a Model as an API
            • Register an API Client
            • Pass Model Values in Postman
          • AutoML Models
        • Auto ML
          • Creating AutoML Experiments
            • Creating an Experiment
          • AutoML List Page
            • View Report
              • Details
              • Models
                • View Explanation
                  • Model Summary
                  • Model Interpretation
                    • Classification Model Explainer
                    • Regression Model Explainer
                    • Forecasting Model Explainer
                  • Dataset Explainer
            • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Ways to Access Notebook
            • Create
            • Import
              • Importing a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Utility
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT (on hold)
              • Register as Job
              • Notebook Version Control
              • Sharing a Notebook
              • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
Powered by GitBook
On this page
  • Accessing the Files Tab
  • Various Options Provided under the Files Tab
  • Adding a File
  • Adding Folder
  • Using the Copy path
  • Import Option
  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for TensorFlow and PyTorch Environment
  4. Notebook
  5. Notebook Page
  6. Notebook Operations

Files

Users will be allotted a Data folder in each Data Science Lab project to create files, folders and upload a file into the dedicated Data Sandbox location

PreviousArtifactsNextVariable Explorer

Last updated 1 year ago

Check out the given walk-through on how to add a file or folder and upload a file in the given Data folder provided for each Projects.

Accessing the Files Tab

  • Navigate to a Notebook page.

  • Open the Files tab.

  • A folder named Data appears by default under the Files tab.

  • Click on the Ellipsis icon provided for the Data.

  • A context menu appears with the following options:

    • Add file

    • Add folder

    • Copy path

    • Import

Please Note: The user can select any one option to insert it as a part of Files to the selected Project.

Various Options Provided under the Files Tab

Adding a File

  • Navigate to the context menu provided for the dedicated folder Data under the Files tab.

  • Click the Add file option from the context menu.

  • The Add file dialog box appears.

  • Provide a name for the file.

  • Click the Yes option.

  • A notification message appears.

  • The file gets added under the Data folder.

Adding Folder

  • Navigate to the context menu provided for the dedicated folder Data under the Files tab.

  • Click the Add folder option from the context menu.

  • The Add folder dialog box appears.

  • Provide a name for the folder.

  • Click the Yes option.

  • A notification message appears.

  • The folder gets added under the Data folder.

Using the Copy path

  • Navigate to the context menu provided for the dedicated folder Data under the Files tab.

OR

The user can also access the Copy Path option from an added File inside the Files option (As displayed in the given image).

  • Click the Copy Path option from the context menu.

  • A code cell gets an autogenerated code for the copy path. The code will contain the project number and

Please Note: The "Copy path" feature allows the user to quickly and accurately reference these files in your code, ensuring that your scripts can access the necessary data and resources.

Import Option

The Import option is provided to import files into the dedicated Sandbox folder (Data) inside the Data Science Notebook.

  • Navigate to the context menu provided for the dedicated folder Data under the Files tab.

  • Click the Import option from the context menu.

  • Select and import a file from the system.

  • A notification message appears.

  • The selected file gets imported.

Please Note: Refer the page to get an overview of the Data Science Lab module in nutshell.

Data Science Lab Quick Start Flow
Using the Files Operation