A comprehensive guide to Snowpark Python, the developer framework that brings the power of Python directly to the Snowflake platform. This project covers the DataFrame API, User-Defined Functions (UDFs), and Stored Procedure deployment.

• DataFrame API: Familiar, pandas-like syntax for pushdown data processing.
• UDFs: Extending Snowflake with custom Python-based logic.
• Stored Procedures: Encapsulating complex ELT workflows in Python.
• Server-Side Execution: Running code securely inside Snowflake's governed environment.

Snowflake_Snowpark_Python/
├── README.md               # You are here
├── Tutorial/
│   └── SNOWPARK_TUTORIAL.md # Step-by-step walkthrough
├── scripts/                # Extracted Python and SQL scripts
│   ├── 01_session_connection.py
│   ├── 02_active_session.py
│   ├── 03_dataframe_basics.py
│   ├── 04_udf_definition.py
│   ├── 05_udf_sql_invocation.sql
│   ├── 06_stored_procedure.py
│   └── 07_sproc_call.sql
└── data/                   # Initialised as empty

Environment Setup: Before beginning, execute scripts/00_setup_environment.sql to provision the necessary databases, schemas, and sample data for this project.

1. Review the Snowpark Python Guide.
2. Setup your environment following the connection parameters in scripts/01_session_connection.py.

Elliott Fairhall Data Engineering Educational Series