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Python data science handbook : = essential tools for working with data /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Python data science handbook :/ Jake VanderPlas.
Reminder of title:	essential tools for working with data /
Author:	Vanderplas, Jacob T.,
Published:	Sebastopol, CA :O'Reilly Media, : 2022.,
Description:	xxiv, 563 p. :ill. ; : 24 cm.;
Notes:	Previous edition: 2016.
Subject:	Data mining - Congresses. -
ISBN:	9781098121228 (pbk.) :

Python data science handbook : = essential tools for working with data /
Vanderplas, Jacob T.,

Python data science handbook :essential tools for working with data /Jake VanderPlas. - 2nd ed. - Sebastopol, CA :O'Reilly Media,2022. - xxiv, 563 p. :ill. ;24 cm.

Previous edition: 2016.

Includes bibliographical references and index.

"Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. 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. Quite simply, this is the must-have reference for scientific computing in Python."--Publisher marketing.

ISBN: 9781098121228 (pbk.) :NT2601

LCCN: 2022438305

Nat. Bib. No.: GBC2K4887bnb

Nat. Bib. Agency Control No.: 020807698UkSubjects--Topical Terms:

528575
Data mining
--Congresses.

LC Class. No.: QA76.73.P98 / V365 2022

Dewey Class. No.: 006.3/12

Python data science handbook : = essential tools for working with data /
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245 1 0 $a Python data science handbook : $b essential tools for working with data / $c Jake VanderPlas.
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260 # $a Sebastopol, CA : $b O'Reilly Media, $c 2022.
300 $a xxiv, 563 p. : $b ill. ; $c 24 cm.
500 $a Previous edition: 2016.
504 $a Includes bibliographical references and index.
520 # $a "Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. 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. Quite simply, this is the must-have reference for scientific computing in Python."--Publisher marketing.
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650 # 0 $a Python (Computer program language) $3 566246