Gans Maya, Hodges Toby, Wilson Greg. JavaScript for Data Science

Chapman and Hall/CRC, 2020. — 245 p. — (Data Science Series). — ISBN13: 978-0-367-42248-6.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