Polars Cookbook: Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars 1.x

Yuki Kakegawa

€37.99

5 (5 Ratings)

Paperback Aug 2024 394 pages 1st Edition

Yuki Kakegawa

€37.99

5 (5 Ratings)

Paperback Aug 2024 394 pages 1st Edition

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Key benefits

Unlock the power of Python Polars for faster and more efficient data analysis workflows
Master the fundamentals of Python Polars with step-by-step recipes
Discover data manipulation techniques to apply across multiple data problems
Purchase of the print or Kindle book includes a free PDF eBook

Description

The Polars Cookbook is a comprehensive, hands-on guide to Python Polars, one of the first resources dedicated to this powerful data processing library. Written by Yuki Kakegawa, a seasoned data analytics consultant who has worked with industry leaders like Microsoft and Stanford Health Care, this book offers targeted, real-world solutions to data processing, manipulation, and analysis challenges. The book also includes a foreword by Marco Gorelli, a core contributor to Polars, ensuring expert insights into Polars' applications. From installation to advanced data operations, you’ll be guided through data manipulation, advanced querying, and performance optimization techniques. You’ll learn to work with large datasets, conduct sophisticated transformations, leverage powerful features like chaining, and understand its caveats. This book also shows you how to integrate Polars with other Python libraries such as pandas, numpy, and PyArrow, and explore deployment strategies for both on-premises and cloud environments like AWS, BigQuery, GCS, Snowflake, and S3. With use cases spanning data engineering, time series analysis, statistical analysis, and machine learning, Polars Cookbook provides essential techniques for optimizing and securing your workflows. By the end of this book, you'll possess the skills to design scalable, efficient, and reliable data processing solutions with Polars.

Who is this book for?

This book is for data analysts, data scientists, and data engineers who want to learn how to use Polars in their workflows. Working knowledge of the Python programming language is required. Experience working with a DataFrame library such as pandas or PySpark will also be helpful.

What you will learn

Read from different data sources and write to various files and databases
Apply aggregations, window functions, and string manipulations
Perform common data tasks such as handling missing values and performing list and array operations
Discover how to reshape and tidy your data by pivoting, joining, and concatenating
Analyze your time series data in Python Polars
Create better workflows with testing and debugging

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Expert Data Modeling with Power BI, Second Edition

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Economy: Delivery to most addresses in the U.K. within 7-9 business days.
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george baptista Oct 29, 2024

"Polars Cookbook" is a great, practical resource to learn Polars. It has plenty of good examples and opportunities to work through the nuances of various Polars operations.Since this is a "cookbook"-style book, the emphasis is on practical and straightforward to use content. The material is organized around common real-world problems, and provides useful solutions. The code-snippets are clear, clean and easily understandable.I particularly found useful Chapter 7 (Working with Nested Data Structures) and Chapter 8 (Reshaping and Tidying Data). For me those two chapters alone were worth the price of the book.All in all, I highly recommend this book to anyone interested in a hands-on approach to learning Polars.

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anon Sep 29, 2024

Polars Cookbook is an excellent guide to getting started with Polars.When I expressed my frustration with learning Pandas to a friend they gave me a short introduction to Polars and I found the syntax to be exactly what I was looking for.However, I still felt that I needed a more structured introduction to Polars that went a bit deeper. Polars Cookbook fit that need, and after a few chapters I felt ready to take on my first project using Polars.I'd recommend this book to anyone who wants a quick, no-fluff guide to getting started in Polars!

Daigo Tanaka Sep 29, 2024

As a Polars newbie, I love Polars Cookbook because I can use it first as a step-by-step tutorial and then as a reference later. The book is thoughtfully organized to be useful both ways. On the table of topics, I loved seeing how it progressed seamlessly from the basic topics to more advanced topics.Starting from how to set up the Polars, the book covers end-to-end topics for data analysts and engineers, from the key concepts that make Polars performant, data I/O, and basic data transformation to practical use cases for analytics, such as handling missing data, string manipulation, and so on. It also covers data engineering topics like cloud data integration, testing, and debugging. All sections come with easy-to-understand code examples and data visualizations when applicable.The author (Yuki Kakegawa) is known for Polars tips on LinkedIn for tens of thousands of followers. I always wished his tips were organized for beginners; this book is a dream come true, and I highly recommend it to everyone who wants to get started with Polars (with or without Python Pandas experience!)

Alierwai Oct 08, 2024

I recently had the opportunity to review Yuki's book on the Polars Python library, and I must say that Yuki did a wonderful job putting it together. In addition to reviewing his book, I have been following Yuki on LinkedIn for several months and have learned many useful Polars tricks and tips from him. Yuki and Matt Harrison have reignited my interest in learning Polars.Whether you are a beginner looking to learn Polars or a seasoned user needing a reference, this book is an excellent guide. Yuki not only demonstrates the ins and outs of Polars, but he also shows how to integrate other Python packages with Polars. For example, he showcases how to visualize data with the Plotly package (p. 81). Furthermore, he has included a chapter on testing and debugging, covering topics such as performing unit tests with pytest and using Cualle for data quality testing. After reading this chapter, I implemented data quality testing in my work projects."Polars Cookbook" is one of the best Polars books I have read so far, and I highly recommend checking it out.Suggestion/Recommendation:I believe this book would benefit from the inclusion of more real-world datasets, especially when developing the second edition.

McCall Sep 23, 2024

The author, Yuki, does a great job taking a complex Python library and distilling it down to consumable pieces. I highly recommend if you’re new to Python programming and want to understand how to process datasets.

Polars Cookbook: Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars 1.x

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Polars Cookbook

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Polars Cookbook: Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars 1.x

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