000 02005cam a22003618i 4500
003 CUTN
005 20241003112155.0
008 200106s2020 flu b 001 0 eng
020 _a9780367422486
020 _a9780367426521
020 _z9780367854188
041 _aEnglish
042 _apcc
082 0 0 _a005.276
_223
_bGAN
100 1 _aGans, Maya,
100 1 _eauthor.
245 1 0 _aJavaScript for data science /
_cMaya Gans, Toby Hodges, and Greg Wilson.
260 _aBoca Raton :
_bCRC Press,
_c2020.
263 _a2006
300 _apages cm
490 0 _aChapman & hall/crc data science series
504 _aIncludes bibliographical references and index.
505 _tIntroduction Basic features Callbacks Objects and classes HTML and CSS Manipulating pages Dynamic pages Visualizing data Promises Interactive sites Managing data Creating a server Testing Using data-forge Capstone project Finale
520 _a"JavaScript is the language of the web. Originally developed for making browser-based interfaces more dynamic, it is now used for large-scale software projects of all kinds, including scientific visualization tools and data services. However, most researchers and data scientists have little or no experience with it. This book is designed to fill that void. It introduces readers to JavaScript's power and idiosyncrasies, and guides them through the key features of the modern version of the language and its tools and libraries. The book places equal focus on client- and server-side programming, and shows readers how to create interactive web content, build and test data services, and visualize data in the browser"--
650 0 _aJavaScript (Computer program language)
650 0 _aMathematical statistics
650 0 _aInformation visualization.
650 0 _xData processing.
690 _aCS
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cBOOKS
999 _c43675
_d43675