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Python Data Science Handbook

Essential Tools for Working with Data
BuchKartoniert, Paperback
Englisch
O'Reilly Mediaerschienen am31.12.20222nd Edition
Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR81,50
E-BookEPUBDRM AdobeE-Book
EUR51,49
E-BookEPUBDRM AdobeE-Book
EUR60,49
E-BookPDFDRM AdobeE-Book
EUR60,49

Produkt

KlappentextWorking scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.
Details
ISBN/GTIN978-1-0981-2122-8
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2022
Erscheinungsdatum31.12.2022
Auflage2nd Edition
SpracheEnglisch
MasseBreite 177 mm, Höhe 233 mm, Dicke 32 mm
Gewicht1030 g
Artikel-Nr.58987900
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Autor

Jake VanderPlas is a software engineer at Google Research, working on tools that support data-intensive research. He maintains a technical blog, Pythonic Perambulations,

to share tutorials and opinions related to statistics, open software, and scientific computing in Python. He creates and develops Python tools for use in data-intensive science, including packages like Scikit-Learn, SciPy, AstroPy, Altair, JAX, and many others. He participates in the broader data science community, developing and presenting talks and tutorials on scientific computing topics at various conferences in the data science world.