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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

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805121152

Length 394 pages

Edition 1st Edition

Languages

Python

Concepts

Data Analysis

Author (1):

Yuki Kakegawa

View More author details

Table of Contents (15) Chapters

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

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14. Other Books You May Enjoy

Preface

Polars is a lightning-fast DataFrame library for transforming and manipulating data. It is written in Rust from scratch and designed for efficient parallelism. Polars is available in Rust, Python, R, and Node.js. Polars has been gaining popularity in the world of data analysis, science, and engineering with its high performance and well-designed API.

However, as Polars is still new, there are not many resources available for you to learn how to use Polars to its full potential. The good news is that this book is designed to fill that gap.

This book contains about 60 recipes that teach you how to use various data transformation and manipulation techniques that you can apply across common data problems. You will unlock the power of Polars by going through the book while keeping the practical recipes on hand to refer to when needed.

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Authors (1)

Yuki Kakegawa

Yuki Kakegawa

Yuki Kakegawa is a data analytics professional with a background in computer science. Yuki has worked in the data space for the past several years, most of which has been spent in consulting, focusing on data engineering, analytics, and business intelligence. His clients are from various industries, such as healthcare, education, insurance, and private equity. He has worked with various companies, including Microsoft and Stanford Health Care, to name a couple. He also runs Orem Data, a data analytics consultancy that helps companies improve their existing data and analytics infrastructure. Aside from work, Yuki enjoys playing baseball and softball with his wife and friends.

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