The Open Source Data Science Masters site shares reflections and materials from a six-month data science study program.
JavaScript for Data Science
JavaScript for Data Science presents educational material about data science topics.
About JavaScript for Data Science
JavaScript for Data Science is an educational book and website that teaches modern JavaScript for research computing. It covers core language features, callbacks and promises, objects and classes, HTML and CSS, interactive pages with React, data services, testing, data visualization, and combining these into a three-tier web application using browser and server programming.
Each topic receives only shallow coverage. The material assumes readers can write short programs using lists, loops, conditionals and functions, use the Unix shell to manage files and directories, and have reliable internet access. Chapter examples are in the src directory of its GitHub repository, and the finished book can be purchased from the publisher or online bookstores.
Key features
- Teaches core features of modern JavaScript
- Explains callbacks and promises programming
- Covers creating objects and classes
- Covers writing HTML and CSS
- Shows interactive pages with React
- Covers data visualization and three-tier application
Best for: Scientists, engineers, librarians, digital humanists, and others using computing in research who have basic programming and Unix shell skills.
Good for
- Covers both browser programming and server programming
- Includes chapter examples in GitHub repository src directory
- Walks through to a complete three-tier web application
Watch out for
- Gives only shallow coverage of each topic
- Requires ability to write short programs and use Unix shell
- Requires reliable internet access
JavaScript for Data Science at a glance
- Website
- third-bit.com/js4ds
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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JavaScript for Data Science FAQ
Who is this material intended for?
People who can write two-page programs using lists, loops, conditionals and functions, run Unix shell commands to manage files and directories, and have reliable internet access.
Where are the code examples?
In the src directory in the GitHub repository, organized by chapter.
Where can the finished book be obtained?
Directly from the publisher or through most online bookstores, with royalties donated to R-Ladies.
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