{"product_id":"javascript-for-data-science-9780367422486","title":"JavaScript for Data Science","description":"\u003cp\u003e • Author(s): Maya Gans\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Programming - Games\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eJavaScript 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.\u003c\/p\u003e \u003cp\u003eThis 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: \u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eThe core features of modern JavaScript\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eCreating templated web pages\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eMaking those pages interactive using React\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eData visualization using Vega-Lite\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eUsing Data-Forge to wrangle tabular data\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eBuilding a data service with Express\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eUnit testing with Mocha\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e \u003cp\u003eAll 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 \u003cb\u003ewebsite.\u003c\/b\u003e\u003c\/p\u003e. \u003cp\u003eMaya Gans is a freelance data scientist and front-end developer by way of quantitative biology. \u003cb\u003eToby Hodges\u003c\/b\u003e is a bioinformatician turned community coordinator who works at the European Molecular Biology Laboratory. \u003cb\u003eGreg Wilson\u003c\/b\u003e co-founded Software Carpentry, and is now part of the education team at RStudio\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Paperback","offer_id":45240175034519,"sku":"9780367422486","price":4441.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780367422486.webp?v=1769224769","url":"https:\/\/atlanticbooks.com\/products\/javascript-for-data-science-9780367422486","provider":"Atlantic Books","version":"1.0","type":"link"}