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Polars Cookbook

You're reading from   Polars Cookbook Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars 1.x

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805121152
Length 394 pages
Edition 1st Edition
Languages
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Author (1):
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Yuki Kakegawa Yuki Kakegawa
Author Profile Icon Yuki Kakegawa
Yuki Kakegawa
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Table of Contents (15) Chapters Close

Preface 1. Chapter 1: Getting Started with Python Polars FREE CHAPTER 2. Chapter 2: Reading and Writing Files 3. Chapter 3: An Introduction to Data Analysis in Python Polars 4. Chapter 4: Data Transformation Techniques 5. Chapter 5: Handling Missing Data 6. Chapter 6: Performing String Manipulations 7. Chapter 7: Working with Nested Data Structures 8. Chapter 8: Reshaping and Tidying Data 9. Chapter 9: Time Series Analysis 10. Chapter 10: Interoperability with Other Python Libraries 11. Chapter 11: Working with Common Cloud Data Sources 12. Chapter 12: Testing and Debugging in Polars 13. Index 14. Other Books You May Enjoy

Working with Snowflake

Snowflake is another popular option for a cloud data warehouse. It’s easy and quick to spin up a Snowflake instance and start working with it right away.

In this recipe, we’ll be covering how to read from and write to tables in Snowflake.

Getting ready

You need a Snowflake account for this recipe. As of this writing, Snowflake gives you a 30-day free trial. Go ahead and create an account with this link: https://signup.snowflake.com/.

Let’s create a database and a table we’ll be reading data from:

  1. Click on Database and enter your database name. Then, click on Create.
Figure 11.51 – Entering a database name

Figure 11.51 – Entering a database name

  1. Click on Schema and enter your schema name. Click on Create to create a new schema.
Figure 11.52 – Entering a schema name

Figure 11.52 – Entering a schema name

  1. Let’s create a table. Choose your schema and click on Create. Choose Table from the dropdown...
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