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Textbook in PDF format

Key Features:
Get to grips with Snowpark's basic and advanced features
Implement workloads in domains like data engineering, data science, and data applications using Snowpark with Python
Deploy Snowpark in production with practical examples and best practices
Book Description:
Snowpark is a powerful framework that helps you unlock numerous possibilities within the Snowflake Data Cloud. However, without proper guidance, leveraging the full potential of Snowpark with Python can be challenging. Packed with practical examples and code snippets, this book will be your go-to guide to using Snowpark with Python successfully.
The Ultimate Guide to Snowpark helps you develop an understanding of Snowpark and how it enables you to implement workloads in data engineering, data science, and data applications within the Data Cloud. From configuration and coding styles to workloads such as data manipulation, collection, preparation, transformation, aggregation, and analysis, this guide will equip you with the right knowledge to make the most of this framework. You'll discover how to build, test, and deploy data pipelines and data science models. As you progress, you'll deploy data applications natively in Snowflake and operate large language models (LLMs) using Snowpark container services.
By the end of this book, you'll be able to leverage Snowpark's capabilities and propel your career as a Snowflake developer to new heights.
What You Will Learn:
Harness Snowpark with Python for diverse workloadsDevelop robust data pipelines with Snowpark using PythonDeploy mature machine learning modelsExplore the process of developing, deploying, and monetizing native apps using SnowparkDeploy and operate containers in SnowparkDiscover the pathway to adopting Snowpark effectively in production
Who this book is for: