UID:
almahu_9949386020602882
Format:
1 online resource :
,
illustrations
ISBN:
9780367854188
,
036785418X
,
9781000028553
,
1000028550
,
9781000028591
,
1000028593
,
9781000028577
,
1000028577
Series Statement:
Chapman & Hall/CRC Data Science Series
Content:
JavaScript is the native language of the Internet. Originally created to make web pages more dynamic, it is now used for software projects of all kinds, including scientific visualization and data services. However, most data scientists have little or no experience with JavaScript, and most introductions to the language are written for people who want to build shopping carts rather than share maps of coral reefs. This book will introduce you to JavaScript's power and idiosyncrasies and guide you through the key features 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. Topics include: The core features of modern JavaScript Creating templated web pages Making those pages interactive using React Data visualization using Vega-Lite Using Data-Forge to wrangle tabular data Building a data service with Express Unit testing with Mocha All of the material is covered by the Creative Commons Attribution-Noncommercial 4.0 International license (CC-BY-NC-4.0) and is included in the book's companion website at http://js4ds.org . Maya Gans is a freelance data scientist and front-end developer by way of quantitative biology. Toby Hodges is a bioinformatician turned community coordinator who works at the European Molecular Biology Laboratory. Greg Wilson co-founded Software Carpentry, and is now part of the education team at RStudio.
Note:
Introduction -- 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.
Additional Edition:
Print version: Gans, Maya. JavaScript for data science. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2020] ISBN 9780367422486
Language:
English
Keywords:
Electronic books.
;
Electronic books.
DOI:
10.1201/9780367854188
URL:
https://www.taylorfrancis.com/books/9780367854188
