Discover 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.
