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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

Who this book is for

This book is for data analysts, data scientists, and data engineers who want to learn to use Polars in their workflows. You should have working knowledge of the Python programming language. Preferably, you have experience of working with a DataFrame library such as pandas or PySpark. If you’re looking to improve your data pipelines or data science/analysis workflows with Python Polars, this book is ideal to get you started and be the guide in your journey.

Another audience that may be a good fit for this book is those who know Python, but have not used any DataFrame libraries before. The book is structured so that it starts with basics and fundamental concepts that are important across DataFrame libraries. The complexity of the concepts covered then increases as you progress through the later chapters. Throughout the book, you’ll develop practical skills in using Polars as well as gaining a general understanding of the mechanics of a DataFrame library.

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