Notebook Automation

Notebooks are great for exploration, but bad for production automation (you can't "schedule" a browser tab).

Option 1: Convert to Script

In Colab/Jupyter: File > Download > .py. Then clean up the display() calls and !pip install lines.

Option 2: Papermill

Papermill is a library that lets you run notebooks as functions.

• Concept: You define parameters (tagged cells) in the notebook.
• Run:

  papermill my_analysis.ipynb output_report.ipynb -p date "2024-01-01"
  

• Result: It runs the notebook from top to bottom, injecting the new date, and saves a new notebook with the results (graphs, Gemini outputs).

Summary

Use Papermill if you want the visual report (graphs) as the output. Use Scripts if you just want the data output.

In the next lesson, we build Multi-Step Workflows.