Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars
offers a blazingly fast multithreaded and elegant API for data loading manipulation and
processing. With this hands-on guide you'll walk through every aspect of Polars and learn how
to tackle practical use cases using real-world datasets. Jeroen Janssens and Thijs Nieuwdorp
from Xomnia in Amsterdam show you how this superfast DataFrame library is perfect for efficient
data wrangling ETL pipelines and so much more. This book helps you quickly learn the syntax
and understand Polars' underlying concepts. You don't need to have experience with pandas or
Spark but if you do this book will help you make a smooth transition. With this definitive
guide at your side you'll be able to: Process larger-than-memory datasets at record speed
Apply the eager lazy and streaming APIs of Polars and decide when to use them Transition
smoothly from pandas or Spark to Polars Integrate Polars into your existing code base Work with
Arrow and Parquet to efficiently read and write data Translate complex ETL tasks into efficient
and elegant queries
