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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-028.mrc:80661188:3884
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-028.mrc:80661188:3884?format=raw

LEADER: 03884cam a2200637 i 4500
001 13626025
005 20220326225745.0
006 m o d
007 cr cnu---unuuu
008 180326t20182018cau o 001 0 eng d
035 $a(OCoLC)on1029547222
035 $a(NNC)13626025
040 $aN$T$beng$erda$epn$cN$T$dN$T$dTEFOD$dFIE$dOCLCF$dYDX$dHCO$dZCU$dNRC$dOCLCQ$dNJT$dOCLCO$dVFL$dOCLCQ$dOCLCO
019 $a1029802238$a1029852811$a1029855834$a1029889037$a1029890632
020 $a9781491985540$q(electronic bk.)
020 $a1491985542$q(electronic bk.)
020 $a9781491985526$q(electronic bk.)
020 $a1491985526$q(electronic bk.)
020 $z9781491985571
020 $z1491985577
035 $a(OCoLC)1029547222$z(OCoLC)1029802238$z(OCoLC)1029852811$z(OCoLC)1029855834$z(OCoLC)1029889037$z(OCoLC)1029890632
037 $a032042B4-6A4A-4973-888B-DF459EEAA95E$bOverDrive, Inc.$nhttp://www.overdrive.com
050 4 $aQA76.73.P98
072 7 $aCOM$x051360$2bisacsh
082 04 $a005.133$223
049 $aZCUA
100 1 $aMitchell, Ryan E.,$eauthor.
245 10 $aWeb scraping with Python :$bcollecting data from the modern web /$cRyan Mitchell.
246 30 $aCollecting data from the modern web
250 $aSecond edition.
264 1 $aSebastopol, CA :$bO'Reilly Media,$c[2018]
264 4 $c©2018
300 $a1 online resource (300 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $aIncludes index.
588 0 $aPrint version record.
520 $aIf programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web. Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the server's response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario you're likely to encounter. --$cprovided by publisher.
505 0 $aYour first web scraper -- Advanced HTML parsing -- Writing web crawlers -- Web crawling models -- Scrapy -- Storing data -- Reading documents -- Cleaning your dirty data -- Reading and writing natural languages -- Crawling through forms and logins -- Scraping JavaScript -- Crawling through APIs -- Image processing and text recognition -- Avoiding scraping traps -- Testing your website with scrapers -- Web crawling in parallel -- Scraping remotely -- The legalities and ethics of web scraping.
650 0 $aPython (Computer program language)
650 0 $aData mining.
650 0 $aAutomatic data collection systems.
650 2 $aData Mining
650 6 $aPython (Langage de programmation)
650 6 $aExploration de données (Informatique)
650 6 $aCollecte automatique des données.
650 7 $aTECHNOLOGY & ENGINEERING$xAutomation.$2bisacsh
650 7 $aCOMPUTERS$xProgramming Languages$xPython.$2bisacsh
650 7 $aAutomatic data collection systems.$2fast$0(OCoLC)fst00822733
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
650 7 $aPython (Computer program language)$2fast$0(OCoLC)fst01084736
655 4 $aElectronic books.
776 08 $iPrint version:$aMitchell, Ryan.$tWeb Scraping with Python : Collecting More Data from the Modern Web.$d[Place of publication not identified] : O'Reilly Media, Incorporated 2018$z9781491985571$w(OCoLC)1027035440
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio13626025$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS