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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 databases

In addition to working with files, it’s very common to work with databases. Polars has integrations with various databases, whether they’re hosted in the cloud or on-premises. Once you understand how to work with one database in Polars, you can apply the same patterns to various other databases.

In this recipe, we’ll specifically look at ways to read from and write to a popular database: Postgres. We’ll look at how to work with cloud databases in Chapter 11, Working with Common Cloud Data Sources.

Getting ready

This recipe requires a few additional dependencies. You’ll need to install the following libraries:

  • connectorx
  • adbc-driver-postgresql
  • pyarrow
  • pg8000 (or psycopg2)

You’ll also need to have a Postgres database on your local machine. You can refer to the following websites for more information on how to install a Postgres database locally:

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