Mastering pandas : (Record no. 590063)

MARC details
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control field ocn913880042
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control field OCoLC
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control field 20210324154121.0
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150716s2015 enka o 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency UMI
Language of cataloging eng
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Record control number 018006900
Source Uk
019 ## -
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781783981977
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1783981970
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1783981970
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1783981962
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781783981960
029 1# - (OCLC)
OCLC library identifier DEBBG
System control number BV043019789
029 1# - (OCLC)
OCLC library identifier DEBBG
System control number BV043620930
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OCLC library identifier DEBSZ
System control number 442841272
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OCLC library identifier DEBSZ
System control number 455693609
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OCLC library identifier GBVCP
System control number 882845640
029 1# - (OCLC)
OCLC library identifier UKMGB
System control number 018006900
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)913880042
Canceled/invalid control number (OCoLC)911844258
-- (OCoLC)914074488
037 ## - SOURCE OF ACQUISITION
Stock number CL0500000614
Source of stock number/acquisition Safari Books Online
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.73.P98
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 051310
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 051280
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 051130
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Anthony, Femi,
Relator term author.
9 (RLIN) 793998
245 10 - TITLE STATEMENT
Title Mastering pandas :
Remainder of title master the features and capabilities of pandas, a data analysis toolkit for Python /
Statement of responsibility, etc. Femi Anthony.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Birmingham, UK :
Name of producer, publisher, distributor, manufacturer Packt Publishing,
Date of production, publication, distribution, manufacture, or copyright notice 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (1 volume) :
Other physical details illustrations
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Community experience distilled
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Online resource; title from cover (Safari, viewed July 6, 2015).
500 ## - GENERAL NOTE
General note Includes index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to pandas and Data Analysis; Motivation for data analysis; We live in a big data world; 4 V's of big data; Volume of big data; Velocity of big data; Variety of big data; Veracity of big data; So much data, so little time for analysis; The move towards real-time analytics; How Python and pandas fit into the data analytics mix; What is pandas; Benefits of using pandas; Summary; Chapter 2: Installation of pandas and Supporting Software
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Selecting a version of Python to usePython installation; Linux; Installing Python from compressed tarball; Windows; Core Python installation; Third-party Python software install; Mac OS/X; Installation using a package manager; Installation of Python and pandas from a third-party vendor; Continuum Analytics Anaconda; Installing Anaconda; Linux; Mac OS/X; Windows; Final step for all platforms; Other numeric or analytics-focused Python distributions; Downloading and installing pandas; Linux; Ubuntu/Debian; Red Hat; Ubuntu/Debian; Fedora; OpenSuse; Mac; Source installation; Binary installation
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note WindowsBinary Installation; Source installation; IPython; IPython Notebook; IPython installation; Linux; Windows; Mac OS/X; Install via Anaconda (for Linux/Mac OS/X); Wakari by Continuum Analytics; Virtualenv; Virtualenv installation and usage; Summary; Chapter 3: The pandas Data Structures; NumPy ndarrays; NumPy array creation; NumPy arrays via numpy.array; NumPy array via numpy.arange; NumPy array via numpy.linspace; NumPy array via various other functions; NumPy datatypes; NumPy indexing and slicing; Array slicing; Array masking; Complex indexing; Copies and views; Operations
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Basic operationsReduction operations; Statistical operators; Logical operators; Broadcasting; Array shape manipulation; Flattening a multi-dimensional array; Reshaping; Resizing; Adding a dimension; Array sorting; Data structures in pandas; Series; Series creation; Operations on Series; DataFrame; DataFrame Creation; Operations; Panel; Using 3D NumPy array with axis labels; Using a Python dictionary of DataFrame objects; Using the DataFrame.to_panel method; Other operations; Summary; Chapter 4: Operations in Pandas, Part I -- Indexing and Selecting; Basic indexing
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Accessing attributes using dot operatorRange slicing; Label, integer, and mixed indexing; Label-oriented indexing; Selection using a Boolean array; Integer-oriented indexing; The .iat and .at operators; Mixed indexing with the .ix operator; Multi-indexing; Swapping and re-ordering levels; Cross-sections; Boolean indexing; The is in and any all methods; Using the where() method; Operations on indexes; Summary; Chapter 5: Operations in pandas, Part II -- Grouping, Merging, and Reshaping of Data; Grouping of data; The groupby operation; Using groupby with a MultiIndex; Using the aggregate method
520 ## - SUMMARY, ETC.
Summary, etc. This book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
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Topical term or geographic name as entry element Data structures (Computer science)
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Topical term or geographic name as entry element Statistics
General subdivision Computer programs.
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Topical term or geographic name as entry element Quantitative research.
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650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data structures (Computer science)
Source of heading or term fast
Authority record control number (OCoLC)fst00887978
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Topical term or geographic name as entry element Python (Computer program language)
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Topical term or geographic name as entry element Quantitative research.
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Topical term or geographic name as entry element Statistics
General subdivision Computer programs.
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Genre/form data or focus term Electronic books.
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655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
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776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Anthony, Femi.
Title Mastering pandas : master the features and capabilities of pandas, a data analysis toolkit for Python.
Place, publisher, and date of publication Birmingham, England : Packt Publishing, ©2015
Physical description xiv, 337 pages
Series data for related item Community experience distilled.
International Standard Book Number 9781783981960
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Community experience distilled.
9 (RLIN) 541051
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1017584">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1017584</a>
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Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Not Lost     EBook e-Library e-Library 24/03/2021   24/03/2021 24/03/2021 eBook

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