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Answer: Upload the Python file to the Databricks workspace and use the %run magic command to include it in the notebook.
Using the %run magic command in Databricks allows you to include another notebook or Python file within the current notebook, making all its functions and variables available. This approach is efficient and maintains the modularity of your code.
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You have a Databricks notebook that relies heavily on a set of utility functions defined in a separate Python file. Describe the steps you would take to adapt this notebook to use the Python file as a dependency, ensuring that the notebook can run without any issues related to missing functions or modules.
A
Upload the Python file to the Databricks workspace and use the %run magic command to include it in the notebook.
B
Convert the Python file to a wheel package, upload it to the Databricks cluster, and modify the notebook to import the functions from the wheel.
C
Copy and paste the contents of the Python file directly into the notebook.
D
Use a relative path to import the Python file directly from the local filesystem into the notebook.
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