Question

A data scientist working in a Databricks notebook on a Databricks Runtime for ML cluster wants to reuse a set of helper functions that are defined in a separate notebook named 'utils' located in the same workspace folder. They want the functions to become directly callable in their current notebook's Python session. Which approach accomplishes this?

Accepted Answer

Use the magic command %run ./utils at the top of the current notebook

Answer

Use dbutils.notebook.run('./utils', 60) to import the functions

Answer

Use the magic command %pip install ./utils to load the helper notebook

Answer

Use import utils as a standard Python module import