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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

Why subscribe?

14. Other Books You May Enjoy

An Introduction to Data Analysis in Python Polars

Data analysis is a broad term that encompasses various steps of inspecting, transforming, and understanding data in order to uncover valuable insights. This chapter focuses on teaching you the fundamentals of data analysis in Python Polars while exploring the dataset. You’ll learn how to inspect your data, generate its summary statistics, adjust data types to suit your needs, and clean the data for further analysis.

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

Inspecting the DataFrame
Casting data types
Handling duplicate values
Masking sensitive data
Visualizing data using Plotly
Detecting and handling outliers

The rest of the chapter is locked

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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.

See other products by Yuki Kakegawa

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