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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-028.mrc:95963515:3449
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-028.mrc:95963515:3449?format=raw

LEADER: 03449cam a2200637Ii 4500
001 13674529
005 20220618225644.0
006 m o d
007 cr unu||||||||
008 160713s2016 caua ob 001 0 eng d
035 $a(OCoLC)ocn953530237
035 $a(NNC)13674529
040 $aUMI$beng$erda$epn$cUMI$dN$T$dYDXCP$dIDEBK$dEBLCP$dTEFOD$dN$T$dOCLCF$dKSU$dDEBSZ$dAJB$dDEBBG$dQCL$dHF9$dOCLCQ$dVT2$dCOO$dOCLCO$dCEF$dOCLCQ$dC6I$dZCU$dUAB$dOCLCA$dUKAHL$dOCLCQ$dORMDA$dOCLCO
019 $a953030190
020 $a9781491920541$q(electronic bk.)
020 $a1491920548$q(electronic bk.)
020 $a9781491920534$q(electronic bk.)
020 $a149192053X$q(electronic bk.)
020 $a1491920513
020 $a9781491920510
035 $a(OCoLC)953530237$z(OCoLC)953030190
037 $aCL0500000760$bSafari Books Online
037 $a9781098111861$bO'Reilly Media
050 4 $aQA76.9.I52
072 7 $aREF$x018000$2bisacsh
082 04 $a001.4226$223
049 $aZCUA
100 1 $aDale, Kyran,$eauthor.
245 10 $aData visualization with Python and JavaScript :$bscrape, clean, explore & transform your data /$cKyran Dale.
264 1 $aSebastopol, CA :$bO'Reilly Media,$c2016.
300 $a1 online resource (1 volume) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
588 0 $aOnline resource; title from title page (viewed July 11, 2016).
500 $aIncludes index.
504 $aIncludes bibliographical references and index.
520 $aLearn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries--including Scrapy, Matplotlib, Pandas, Flask, and D3--for crafting engaging, browser-based visualizations. As a working example, throughout the book Dale walks you through transforming Wikipedia's table-based list of Nobel Prize winners into an interactive visualization. You'll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript's D3 library. If you're ready to create your own web-based data visualizations--and know either Python or JavaScript-- this is the book for you.
650 0 $aInformation visualization.
650 0 $aPython (Computer program language)
650 0 $aJavaScript (Computer program language)
650 6 $aVisualisation de l'information.
650 6 $aPython (Langage de programmation)
650 6 $aJavaScript (Langage de programmation)
650 7 $aREFERENCE$xQuestions & Answers.$2bisacsh
650 7 $aInformation visualization.$2fast$0(OCoLC)fst00973185
650 7 $aJavaScript (Computer program language)$2fast$0(OCoLC)fst00982071
650 7 $aPython (Computer program language)$2fast$0(OCoLC)fst01084736
650 7 $aJavaScript$2gnd
650 7 $aPython$gProgrammiersprache$2gnd
650 7 $aVisualisierung$2gnd
655 4 $aElectronic books.
776 08 $iPrint version:$aDale, Kyran.$tData visualization with Python and Javascript.$dBeijing : O'Reilly, 2016$hxxxiii, 553 Seiten
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio13674529$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS