Python Polars: The - Paperback, by Janssens Jeroen; Nieuwdorp - Very Good

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Last updated on Nov 27, 2025 18:11:54 SGTView all revisionsView all revisions

Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
Book Title
Python Polars: The Definitive Guide: Transforming, Analyzing, and
ISBN
9781098156084
Category

About this product

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1098156080
ISBN-13
9781098156084
eBay Product ID (ePID)
7070941723

Product Key Features

Number of Pages
501 Pages
Language
English
Publication Name
Python Polars: the Definitive Guide : Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API
Subject
Software Development & Engineering / Tools, Data Processing, Programming Languages / Python
Publication Year
2025
Type
Textbook
Subject Area
Computers
Author
Jeroen Janssens, Thijs Nieuwdorp
Format
Trade Paperback

Dimensions

Item Height
1.1 in
Item Weight
30.2 Oz
Item Length
9.2 in
Item Width
7.3 in

Additional Product Features

Synopsis
Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks like data wrangling, exploratory data analysis, building pipelines, and more. Whether you're a seasoned data professional or new to data science, you'll quickly master Polars' expressive API and its underlying concepts. You don't need to have experience with pandas, but if you do, this book will help you make a seamless transition. The many practical examples and real-world datasets are available on GitHub, so you can easily follow along. Process data from CSV, Parquet, spreadsheets, databases, and the cloud Get a solid understanding of Expressions, the building blocks of every query Handle complex data types, including text, time, and nested structures Use both eager and lazy APIs, and know when to use each Visualize your data with Altair, hvPlot, plotnine, and Great Tables Extend Polars with your own Python functions and Rust plugins Leverage GPU acceleration to boost performance even further

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