Python for Data Mining Quick Syntax Reference / (Record no. 222702)

MARC details
000 -LEADER
fixed length control field 02866cam a22004935i 4500
001 - CONTROL NUMBER
control field 21769316
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220428141457.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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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 181219s2018 xxu|||| o |||| 0|eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2019758735
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484241134
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4842-4113-4
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (DE-He213)978-1-4842-4113-4
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions pn
-- rda
Transcribing agency AIMIT LIBRARY
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM051360
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMX
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMX
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.762
Edition number 1
Item number PORV
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Porcu, Valentina,
9 (RLIN) 32682
245 10 - TITLE STATEMENT
Title Python for Data Mining Quick Syntax Reference /
Statement of responsibility, etc. by Valentina Porcu.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
Remainder of edition statement South Asian Edition
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Berkeley, CA :
Name of publisher, distributor, etc. Apress :
Date of publication, distribution, etc. 2018
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berkeley, CA :
Name of producer, publisher, distributor, manufacturer Apress :
-- Imprint: Apress,
Date of production, publication, distribution, manufacture, or copyright notice 2018.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 260p ;
Dimensions 23.3 cm
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
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Getting Started -- 2. Introductory Notions -- 3. Basic Objects and Structures -- 4. Functions -- 5. Conditional Instructions and Writing Functions -- 6. Other Basic Concepts -- 7. Importing Files -- 8. pandas -- 9. SciPy and NumPy -- 10. Matplotlib -- 11. scikit-learn.
520 ## - SUMMARY, ETC.
Summary, etc. Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on publisher-supplied MARC data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
9 (RLIN) 32683
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language).
9 (RLIN) 32684
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python.
9 (RLIN) 32685
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big Data.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/I29120
9 (RLIN) 32686
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Title Python for data mining quick syntax reference
International Standard Book Number 9781484241127
Record control number (DLC) 2018966554
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484241127
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484241141
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484247426
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
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b ibc
c origres
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e ncip
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g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Edition 1st
Call number prefix 005.762 PORV
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     MCA St Aloysius Institute of Management & Information Technology St Aloysius Institute of Management & Information Technology 03/24/2022 Biblios Book Point 799.00 Bill no;6623; Bill dt:2022-03-23   005.762 PORV MCA17079 07/21/2025 639.20 04/28/2022 Book