MARC record from Internet Archive

LEADER: 01882cam 2200361Ii 4500
001 9925212992401661
005 20150911113022.5
008 150723s2015 caua 001 0 eng d
019 $a916525203
020 $a9781491910290$q(paperback)
020 $a1491910291$q(paperback)
035 $a99964955891
035 $a(OCoLC)914321467$z(OCoLC)916525203
035 $a(OCoLC)ocn914321467
040 $aOQX$beng$erda$cOQX$dQGK$dCIN$dCDX
050 4 $aQA76.73.P98$bM58 2015
082 04 $a005.133$223
100 1 $aMitchell, Ryan,$eauthor.
245 10 $aWeb scraping with Python :$bcollecting data from the modern web /$cRyan Mitchell.
246 30 $aCollecting data from the modern web
264 1 $aSebastopol, CA :$bO'Reilly Media,$c2015.
300 $axiii, 238 pages :$billustrations,$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
500 $aIncludes index.
505 0 $aPart I. Building scrapers: Your first web scraper -- Advanced HTML parsing -- Starting to crawl -- Using APIs -- Storing data -- Reading documents. Part II. Advanced scraping: Cleaning your dirty data -- Reading and writing natural languages -- Crawling through forms and logins -- Scraping JavaScript -- Image processing and text recognition -- Avoiding scraping traps -- Testing your website with scrapers -- Testing your website with scrapers -- Scraping remotely.
520 $aLearn web scraping and crawling techniques to access data from any web source in any format. Teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing.
650 0 $aPython (Computer program language)
650 0 $aData mining.
650 0 $aAutomatic data collection systems.
947 $hCIRCSTACKS$r31786103016603
980 $a99964955891