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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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Toc

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 Common Cloud Data Sources

As more and more companies and organizations migrate their systems to the cloud, the ability to work with cloud data sources has become essential for any data processing tool. In Chapter 2 Reading and Writing Files, we’ve covered how we can read and write files in Polars. In this chapter, we are going to cover how we can work with common data sources hosted in the cloud.

The most challenging part is probably the configuration, not only for working with cloud sources but also anything in data projects. We’ll be sure to cover how to do that as well. However, you get the most out of this chapter if you already have experience working with a cloud service, so that you may know how to troubleshoot access issues as they arise.

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

  • Working with Amazon S3
  • Working with Azure Blob Storage
  • Working with Google Cloud Storage
  • Working with BigQuery
  • ...
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