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 larger-than-memory datasets
Get up to speed with the Polars library, including its fundamentals and advanced data transformations
Apply Polars to five 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 provides you with in-depth insights into Polars: its interface, how Polars works behind the scenes, and how to use it in practical applications.
You'll start with the fundamentals of Polars, such as reading and writing files and databases, and transforming data. Next, you’ll progress to advanced topics such as window functions, time-series analysis, text transformations, processing larger-than-memory datasets, and testing data pipelines. You'll also learn how to leverage SQL with Polars. The second section of the book guides you through five case studies step by step, allowing you to apply your learning to business problems. Through the real-life case studies, you'll find out how to perform financial and marketing analyses, such as price-volume-mix analysis, market basket analysis, customer segmentation, product recommendations, and text analysis.
By the end of this book, you'll have gained the knowledge and skills you need to advance your Python data analysis skills using Polars and take your career to the next level.What you will learn

Find out 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 data lakes
Discover how to transform, group, and combine data with parallel execution
Get up to speed with advanced data transformations, including window and array functions
Explore 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're a data analyst looking to analyze your data faster or analyze bigger datasets (or both), then this book is for you. Business analysts, data engineers, and data scientists will also benefit from this book. Basic knowledge of Python is necessary to get the most out of this book. Additionally, any previous experience with data analysis in Pandas, Spark, or SQL will be helpful.