Data Analysis with Polars

Leverage Polars, the lightning-fast DataFrame library, to take your Python data analysis skills to the next level

Key Features

Speed-up your data transformations in Python and handle data bigger than memory
Gain proficiency in the Polars library, covering topics from its fundamentals to advanced data transformations
Apply Polars to 5 real-world business cases, including financial and marketing analysis
Purchase of the print or Kindle book includes a free PDF eBook

Book DescriptionDiscover the power of Polars, the lightning-fast DataFrame library, for fast data manipulation and analysis. This comprehensive guide covers everything you need to know about Polars: its interface, how Polars works under-the-scenes, and how to use it in practical applications.
You start with the fundamentals of Polars, such as reading and writing files and databases, and transforming data. Then you build up your knowledge all the way to advanced topics such as window functions, time-series analysis, text transformations, process data bigger than memory, and testing data pipelines. You also learn how to leverage SQL with Polars! Moving ahead, the second section of the book walks through 5 case studies step-by-step, allowing you to apply your learnings to business problems. Through the real-life case studies, you learn how to perform various financial and marketing analyses: price-volume-mix analysis, market basket analysis, customer segmentation, product recommendations, and text analysis.
With this book, you'll gain valuable knowledge and skills that will make you stand out in your current job or during job interviews. Whether you're an experienced data analyst or just getting started, this book is the perfect resource to advance your Python data analysis skills and take your career to the next level.What you will learn

Learn why Polars is faster, and how it benefits from Arrow and Rust
Understand Polars query optimizations, and the lazy API
Connect Polars to your files, databases, and datalakes
Discover to transform, group, and combine data with parallel execution
Learn advanced data transformations including window and array functions
Discover how to query Polars using SQL
Extend Polars functionality with custom functions and namespaces
Perform exploratory data analysis and visualization using Polars and Altair

Who this book is forIf you are a data analyst wanting to analyze your data faster or analyze bigger datasets (or both!) then this is the book for you. Business analysts, data engineers, and data scientists will also strongly benefit from this book. A basic knowledge of Python is necessary to fully benefit from this book. Any previous experience with data analysis in Pandas, Spark, or SQL will help you get the most out of your reading.