Sample Snowpark Demo Notebooks

Please Download the sample Jupyter Notebooks to test basic Snowflake functionality. Snowpark currently requires Python 3.8 enviroment. You can easily run these notebooks via VSCODE.

Requirements:

1. Python 3.8 Environment
2. Notebook GUI (Jupyter, VSCODE or others)
3. Install Snowpark-Python Library - pip install snowflake-snowpark-python

Additional Docs for Installing/Configuration of Python & Snowpark Environment

4. Install Python NLTK library if testing Sentiment Analysis - pip install nltk

1- Basic Data Engineering Dataframe operations

Read, Join, Summarize & Write large datasets via Dataframes in Snowflake.

Snowpark_Data_Engineering_Public.ipynb.

2- Running Native Python Code/Libraries within Snowflake via UDFs

Snowpark_Sentiment_Analysis_Public.ipynb.

Shows how to ingest data directly from Parquet files & perform Sentiment Analysis on 16,000 Amazon Product reviews via Python NLTK library running on Snowflake compute.