JavaScript for Data Science

JavaScript for Data Science
  • eBook:
    jаvascript for Data Science
  • Author:
    Maya Gans, Toby Hodges, Greg Wilson
  • Edition:
    1 edition
  • Categories:
  • Data:
    January 28, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    244 pages
  • Format:
    PDF, ePUB

Book Description
jаvascript 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 jаvascript, 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 jаvascript'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 jаvascript
  • 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


Chapter 1. Introduction
Chapter 2. Basic Features
Chapter 3. Callbacks
Chapter 4. Objectsand Classes
Chapter 5. HTML and CSS
Chapter 6. Manipulating Pages
Chapter 7. Dynamic Pages
Chapter 8. Visualizing Data
Chapter 9. Promises
Chapter 10. Interactive Sites
Chapter 11. Managing Data
Chapter 12. Creating aServer
Chapter 13. Testing
Chapter 14. Using Data-Forge
Chapter 15. Capstone Project
Chapter 16. Finale

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