Python for data analysis : data wrangling with pandas, NumPy, and IPython (Record no. 44509)

MARC details
000 -LEADER
fixed length control field 01990nam a22003257i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1491957662
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781491957660
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number MAC
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name McKinney, Wes,
245 10 - TITLE STATEMENT
Title Python for data analysis : data wrangling with pandas, NumPy, and IPython
250 ## - EDITION STATEMENT
Edition statement Second edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Sebastopol, CA :
Name of publisher O'Reilly Media, Inc.,
Year of publication 2018. ©2018
300 ## - PHYSICAL DESCRIPTION
Number of Pages xvi, 524 pages :
Other physical details illustrations ;
500 ## - GENERAL NOTE
General note "Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso.
500 ## - GENERAL NOTE
General note First edition: October 2012.
500 ## - GENERAL NOTE
General note Includes index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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 ## - SUMMARY, ETC.
Summary, etc "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 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python (Computer program language)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Programming languages (Electronic computers)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data mining.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Programming languages (Electronic computers)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data mining.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python (Computer program language)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python 3.6
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Datenanalyse
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Datenmanagement
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data Mining
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Reference Books
Holdings
Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Koha item type
Reference Main Library Main Library Reference 01/01/2019 Purchased 7900.00 005.133 MAC 015799 Reference Books

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