JavaScript for data science / Maya Gans, Toby Hodges, and Greg Wilson.
| Author/creator | Gans, Maya |
| Format | Electronic |
| Publication Info | Boca Raton : CRC Press, 2020. |
| Description | pages cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Chapman & hall/crc data science series |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2019046293 |
| ISBN | 9780367422486 (paperback) |
| ISBN | 9780367426521 (hardback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |