Cloud GCP BigQuery AI Functions in Pandas Deven Goratela 8 November 2026 import pandas as pd dates = pd.date_range(“2025-01-01″, periods=14, freq=”D”) df = pd.DataFrame({ “date”: dates.tolist() * 2, “item_id”: [“item_1”] * 14 + [“item_2”] * 14, “sales”: [ 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 50, 52, 55, 58, 60, 62, 65, 68, 70, 72, 75, 78, 80, 85, ], }) df.sample(5) # date item_id sales # 15 2025-01-02 item_2 52 # 10 2025-01-11 item_1 150 # 24 2025-01-11 item_2 75 # 26 2025-01-13 item_2 80 # 7 2025-01-08 item_1 135 Source Credit: https://cloud.google.com/blog/products/data-analytics/bigquery-ai-functions-in-pandas/ About the Author Deven Goratela Administrator Visit Website View All Posts Post navigation Previous: Balancing Generative AI Integration and Child Development in Early Learning Classrooms – Bioengineer.org Related Stories Cloud GCP Gemini Enterprise Series: Enable MS SharePoint & Outlook Connectors in less than 10 minutes Deven Goratela 8 November 2026 0 Cloud GCP Storage-optimized Z4M machine series are GA Deven Goratela 8 November 2026 0 Cloud GCP Working Remotely with Google Antigravity: The Complete 3-Part Guide to Remote Control & Remote… Deven Goratela 7 November 2026 0