國立虎尾科技大學 |

登入

回首頁

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Python data science handbook :/ Jake VanderPlas.
其他題名:	essential tools for working with data /
作者:	Vanderplas, Jacob T.,
出版者:	Sebastopol, CA :O'Reilly Media, : 2022.,
面頁冊數:	xxiv, 563 p. :ill. ; : 24 cm.;
附註:	Previous edition: 2016.
標題:	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 /
LDR:01706cam a2200277 a 4500 001 1137280
003 OCoLC
005 20241210051353.0
008 241219s2022 caua bf 001 0 eng d
010 $a 2022438305
015 $a GBC2K4887 $2 bnb
016 7 $a 020807698 $2 Uk
020 $a 9781098121228 (pbk.) : $c NT2601
020 $a 1098121228 (pbk.)
035 $a (OCoLC)1351696593
035 $a on1351696593
040 $a UKMGB $b eng $c NFU $d OCLCF $d IG$ $d UKMGB $d GPRCL $d OQX $d IWA $d YDX $d OCL $d DLC $d OCLCO $d OCLCL $d IG#
041 0 # $a eng
050 # 4 $a QA76.73.P98 $b V365 2022
082 0 4 $a 006.3/12 $2 23
100 1 $a Vanderplas, Jacob T., $e author. $3 1460366
245 1 0 $a Python data science handbook : $b essential tools for working with data / $c Jake VanderPlas.
250 $a 2nd ed.
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.
650 # 0 $a Data mining $v Congresses. $3 528575
650 # 0 $a Python (Computer program language) $3 566246