Python User-Defined Functions in Snowpark

Level Up - Apps & Dev Series

Introduction

Welcome to our introductory module focusing on Python User-Defined Functions (UDFs) within Snowflake’s Snowpark. Whether you're just starting with Python, exploring the world of data, or a technical professional new to Snowpark, this course is tailored for you. Dive into the realm of Python UDFs and discover their application in data processing.

Throughout this module, you'll grasp the fundamentals of creating and using Python UDFs in Snowflake. Learn how these functions simplify and enhance data manipulation tasks. By the course's end, you'll possess a solid foundation in leveraging Python UDFs for effective data processing, setting the stage for more advanced studies in data analytics and engineering.

Course Highlights:

Prerequisites:

• Basic understanding of the Python programming language.
• Familiarity with Snowflake's data platform.

Objectives:

• Build a solid foundational knowledge of Python UDFs in Snowpark.
• Emphasize the application of UDFs in enhancing Snowflake’s SQL capabilities.
• Dive into the workings of Scalar UDFs, understanding their role in row-by-row data processing.
• Learn the essential steps in developing Named UDFs in Snowflake, covering naming, lifespan, and conflict resolution.
• Explore the differences between Named and Anonymous UDFs, understanding their unique use cases and strengths within Snowpark.

Are you ready to embark on this learning adventure? Let's dive in and explore the capabilities that Snowflake and Python UDFs bring to the table! ❄️