
Python Polars: The Definitive Guide
Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API
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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 is a Senior Machine Learning Engineer at Xomnia in Amsterdam, where he uses Polars on a daily basis. He enjoys wrangling data, implementing machine learning models, and building solutions using Python, R, JavaScript, and Bash. Previously, he ran Data Science Workshops, a training and coaching firm. Jeroen is the author of Data Science at the Command Line (O'Reilly, 2021). He has been an assistant professor at Jheronimus Academy of Data Science and a data scientist at various startups in New York City. Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University. He lives with his wife and two kids in Rotterdam, the Netherlands.
Produktbeschreibung
- Verlag: O'Reilly Media
- Seitenzahl: 400
- Erscheinungstermin: 28. Februar 2025
- Englisch
- Abmessung: 232mm x 175mm x 28mm
- Gewicht: 858g
- ISBN-13: 9781098156084
- ISBN-10: 1098156080
- Artikelnr.: 70548819
Herstellerkennzeichnung
Libri GmbH
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de
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