Mining the Social Web (Record no. 226314)

MARC details
000 -LEADER
fixed length control field 02024nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230109115025.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230106b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352137695
040 ## - CATALOGING SOURCE
Transcribing agency AL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 005.8
Item number RUSM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Matthew A Russell
9 (RLIN) 68801
245 ## - TITLE STATEMENT
Title Mining the Social Web
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi
Name of publisher, distributor, etc. Shroff Publishers and distributors
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent xxiv,399p.
Other physical details PB
Dimensions 23x18cm.
365 ## - TRADE PRICE
Source of price type code General
Price type code QWWC-19717
Price amount ₹875.00
Currency code
Unit of pricing ₹875.00
Price effective from 29-12-2022
520 ## - SUMMARY, ETC.
Summary, etc. All Indian reprints of O'Reilly are printed in grayscale.mine the rich data tucked away in popular social web sites such as Twitter, face book, linked in, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they're talking about, and where they're located—using Python code examples, Jupyter notebooks, or Docker containers.<Br> In part one, each stand alone. Chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blog and feeds, mailboxes, GitHub, and a newly added br>Chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. <Br> <beget a straightforward synopsis of the social web landscape<br/>Use Docker to easily run each chapter example code, packaged as a Jupiter notebookAdapt and contribute to the code’s open source GitHub repositoryLearn how to employ best-in-class Python 3 tools to slice and Dice the data you collectApply advanced mining techniques such as tfidf, cosine similarity, collocation analysis, clique detection, and image recognition<br/>Build beautiful data visualisations with Python and JavaScript toolkit </br>.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Computer programming, programs and data
Topical term or geographic name entry element Computer programming
9 (RLIN) 68986
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Klassen Mikhail
9 (RLIN) 68802
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
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 Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     MAJMC St Aloysius PG Library St Aloysius PG Library 01/06/2023 Amazon.in 875.00   005.8 RUSM PG024144 01/06/2023 875.00 01/06/2023 Book