國立虎尾科技大學 |

登入

回首頁

Python for data analysis : = data wr...

McKinney, Wes.

Python for data analysis : = data wrangling with Pandas, NumPy, and IPython /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Python for data analysis :/ Wes McKinney.
其他題名:	data wrangling with Pandas, NumPy, and IPython /
其他題名:	Data wrangling with Pandas, NumPy, and IPython
作者:	McKinney, Wes.
出版者:	Sebastopol, California :O'Reilly Media, Inc., : c2018.,
面頁冊數:	xvi, 528 p. :ill. ; : 24 cm.;
附註:	"Revision history for the Second Edition: 2017-09-25: First Release"--T.p. verso.
標題:	Python (Computer program language) -
ISBN:	1491957662 (pbk.)

Python for data analysis : = data wrangling with Pandas, NumPy, and IPython /
McKinney, Wes.

Python for data analysis :data wrangling with Pandas, NumPy, and IPython /Data wrangling with Pandas, NumPy, and IPythonWes McKinney. - 2nd ed. - Sebastopol, California :O'Reilly Media, Inc.,c2018. - xvi, 528 p. :ill. ;24 cm.

"Revision history for the Second Edition: 2017-09-25: First Release"--T.p. verso.

Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.

"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process"--Page 4 of cover.

ISBN: 1491957662 (pbk.)

LCCN: 2018302150Subjects--Topical Terms:

566246
Python (Computer program language)

LC Class. No.: QA76.73.P98 / M42 2018

Dewey Class. No.: 005.133

Python for data analysis : = data wrangling with Pandas, NumPy, and IPython /
LDR:01956cam a2200289 a 4500 001 951188
005 20200728145140.0
008 200821s2018 cc a 001 0 eng d
010 $a 2018302150
020 $a 1491957662 (pbk.)
020 $a 9781491957660 (pbk.) : $c NT1776
035 $a (OCoLC)ocn959595088
035 $a 20565478
040 $a YDX $b eng $c YDX $d BDX $d OCLCQ $d BTCTA $d INO $d IUL $d OCLCF $d OCL $d CHVBK $d OCLCO $d EYM $d JRZ $d GL4 $d JRZ $d LOY $d UIU $d DLC $d NFU
041 0 # $a eng
042 $a lccopycat
050 0 0 $a QA76.73.P98 $b M42 2018
082 0 4 $a 005.133 $2 23
100 1 $a McKinney, Wes. $3 1240566
245 1 0 $a Python for data analysis : $b data wrangling with Pandas, NumPy, and IPython / $c Wes McKinney.
246 3 0 $a Data wrangling with Pandas, NumPy, and IPython
250 $a 2nd ed.
260 # $a Sebastopol, California : $b O'Reilly Media, Inc., $c c2018.
300 $a xvi, 528 p. : $b ill. ; $c 24 cm.
500 $a "Revision history for the Second Edition: 2017-09-25: First Release"--T.p. verso.
500 $a First edition: October 2012.
500 $a Includes index.
505 0 # $a Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
520 # $a "Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process"--Page 4 of cover.
650 # 0 $a Python (Computer program language) $3 566246
650 # 0 $a Programming languages (Electronic computers) $3 596941
650 # 0 $a Data mining. $3 528622