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Snowpark for Python: DataFrames Demo
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Welcome to part 1 of 3 of this demo series that showcases how to use Snowflake’s Snowpark for Python for data engineering. In this episode, Dash Desai, Lead Developer Advocate at Snowflake, walks through how to use the Snowpark DataFrame API. Snowpark for Python is the set of libraries and runtimes that securely deploy and process Python code in Snowflake. The Snowpark API library includes the DataFrame API, which allows developers to write queries and transform data using familiar DataFrame-style programming. Make sure to also check out the rest of the demo series, which includes part 2 on user-defined functions and part 3 on stored procedures.
To view part 2 of the demo series, click here:
Snowpark for Python: User-Defined Functions
To view part 3 of the demo series, click here:
Snowpark for Python: Stored Procedures
To view part 2 of the demo series, click here:
Snowpark for Python: User-Defined Functions
To view part 3 of the demo series, click here:
Snowpark for Python: Stored Procedures
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