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🤖 Automating Workspace noteboook execution via Snowflake Tasks

Written: 12 August 2026

From September 2026 Legacy notebook creation will be disabled and new Snowflake notebooks will need to be created via Workspaces.

Scheduling workspace notebook execution via Snowflake Task is slightly more complicated than with Legacy notebooks and this guide runs you through the steps for creating and debugging tasks that execute workspace notebooks.

Prerequisites

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Uploading third-party Python packages to Snowflake

1. Create a stage

If you want to use a Python package within a notebook running on a warehouse and it's not available via Snowflake’s Anaconda channel of pre-approved packages you’ll need to use a stage to upload the source code of the Python packages you want to use.

You can create the stage via Snowsight (Snowflake's web interface) or via a script:

CREATE STAGE PYTHON_PACKAGES 

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1. Install Python via Anaconda

https://www.anaconda.com/download

2. Initialise conda into your shell

For Powershell:

conda init powershell

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import snowflake.connector

value = None

# Won't work:
f"""INSERT INTO example_table(
            visitors
            ) VALUES
            (
            '{value}', 

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"""
Good reference: https://www.dataquest.io/cheat-sheet/regular-expressions-cheat-sheet/
Official documentation: https://docs.python.org/3/library/re.html
"""

import re 

text = "dog cat dog"

########## re.findall() ##########

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CREATE OR REPLACE FUNCTION extract_fy(date_to_convert varchar, date_format varchar DEFAULT 'YYYY-MM-DD')
RETURNS VARCHAR
LANGUAGE SQL
AS
$$
SELECT 
CASE
	WHEN MONTH(TRY_TO_DATE(date_to_convert, date_format)) >= 7 THEN 
		CONCAT('FY', RIGHT(YEAR(TRY_TO_DATE(date_to_convert, date_format)) + 1, 2))
	ELSE CONCAT('FY', RIGHT(YEAR(TRY_TO_DATE(date_to_convert, date_format)), 2))