Notebook Operations

This section aims at describing the various operations for a Data Science Notebook available under the TensorFlow or PyTorch environment.

A Data Science Notebook created under the PyTorch or TensorFlow environment will contain the following operations:

• ​Datasets: Add datasets and get a list of all the added datasets.

• ​Secrets: You can generate Environment Variables to save your confidential information from getting exposed.

• Utility: You can import Utility scripts by using this tab. It also lists the imported scripts.

• Files: ​Create Data folders and create/upload files into the dedicated Data Sandbox location.

• ​Variable Explorer: Get detailed information of Variables declared inside a Notebook.

• Writers: Write the output of the DSL experiments into the supported range of the database writers.

• ​Find and Replace: You can search for a specific text inside your code and replace it if needed.

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