finelybook
JavaScript for Data Science (Chapman & Hall/CRC Data Science Series) 1st Edition
by 作者: Maya Gans,To by 作者: Hodges,Greg Wilson
Series: Chapman & Hall/CRC Data Science Series
Pages: 244 pages
Publisher Finelybook 出版社: Chapman and Hall/CRC; 1 edition (January 28,2020)
Language 语言: English
ISBN-10 书号: 0367426528
ISBN-13 书号: 9780367426521
Book Description
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
Table of contents
Chapter 1:
Introduction
Chapter 2: Basic Features
Chapter 3: Callbacks
Chapter 4: Objects and 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 a Server
Chapter 13: Testing
Chapter 14: Using Data-Forge
Chapter 15: Capstone Project
Chapter 16: Finale
Bibliography
Appendix A: License
Appendix B: Code of Conduct
Appendix C: Contributing
Appendix D: Glossary
Appendix E: Key Points
Appendix F: Collaborating
Appendix G: Legacy JavaScript Issues
Appendix H: Regular Expressions
AppendixI: Logging
AppendixJ: Extensible Servers
Appendix K: Using a Database
Appendix L: Deploying
Index
