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The Ultimate Guide to Snowpark

You're reading from   The Ultimate Guide to Snowpark Design and deploy Snowflake Snowpark with Python for efficient data workloads

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781805123415
Length 254 pages
Edition 1st Edition
Languages
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Authors (2):
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Shankar Narayanan SGS Shankar Narayanan SGS
Author Profile Icon Shankar Narayanan SGS
Shankar Narayanan SGS
Vivekanandan SS Vivekanandan SS
Author Profile Icon Vivekanandan SS
Vivekanandan SS
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Toc

Table of Contents (14) Chapters Close

Preface 1. Part 1: Snowpark Foundation and Setup
2. Chapter 1: Discovering Snowpark FREE CHAPTER 3. Chapter 2: Establishing a Foundation with Snowpark 4. Part 2: Snowpark Data Workloads
5. Chapter 3: Simplifying Data Processing Using Snowpark 6. Chapter 4: Building Data Engineering Pipelines with Snowpark 7. Chapter 5: Developing Data Science Projects with Snowpark 8. Chapter 6: Deploying and Managing ML Models with Snowpark 9. Part 3: Snowpark Applications
10. Chapter 7: Developing a Native Application with Snowpark 11. Chapter 8: Introduction to Snowpark Container Services 12. Index 13. Other Books You May Enjoy

Establishing a Foundation with Snowpark

In the previous chapter, you learned the basics of Snowpark, its benefits, and how it allows developers to develop complex data applications using Python. This chapter will focus on establishing a solid foundation with Snowpark. Here, you will learn how to configure and operate Snowpark, select a coding style and structure, and explore Snowpark’s fundamentals in depth. This will help you acquire practical knowledge and skills to work efficiently with Snowpark, including setting up the environment, structuring the code, and utilizing it for different workloads.

In this chapter, we’re going to cover the following main topics:

  • Configuring the Snowpark development environment
  • Operating with Snowpark
  • Establishing a project structure for Snowpark
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