nsonnad/react
React is a JavaScript library for building user interfaces. It's declarative, efficient, and extremely flexible. What's more, it works with the libraries and frameworks that you already know.
Discovered public repositories for nsonnad in the GitHub catalog.
React is a JavaScript library for building user interfaces. It's declarative, efficient, and extremely flexible. What's more, it works with the libraries and frameworks that you already know.
Public repository.
World countries in JSON, CSV and XML. Any help is welcome!
Themes for your IPython Notebook
Base16 Builder
A twitter bot identifying intralist communication
A slightly modified version of Heroku's official Node.js buildpack with added gulp.js support
Introduction to Statistics
Gulp.js template for static single-page apps. With Jade, optional Coffeescript, Stylus.
Copies all files in the `/raw` directory to `/out` without going through DocPad's generation process. Useful for files that cause out of memory/speed issues when placed in /files directory.
Putting NYT stories on the (a) map
An exploratory tool for word etymologies
Exercises for stuff from nodeschool.io
TextMate theme modeled after the vim zenburn theme.
A hue, chroma, lightness colorpicker for data.
Public repository.
A Python to Vega translator
Floating around and making sound
A barebones Yeoman setup to get you up and running with D3, Sass and Coffeescript
A JavaScript visualization library for HTML and SVG.
Python answers to Project Euler problems
simple deom of using a d3 reusable chart with derby
A visualization grammar.
The Data Journalism Handbook was born at a 48 hour workshop at MozFest 2011 in London. It subsequently spilled over into an international, collaborative effort involving dozens of data journalism’s leading advocates and best practitioners. In the 6 months that passed between the book’s inception to its first full release, hundreds of people have contributed in various ways. While we have done our best to keep track of them all, we have had our fair share of anonymous, pseudonymous and untraceable edits. To all of those people who have contributed and are not listed below, we say two things. Firstly, thank you. Secondly, can please tell us who you are so that we can give credit where credit is due.
Materials for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Answers and notes on the book Think Stats, which uses Python to teach statistics.
rapid prototyping with d3.js
ProPublica's News App and Data Style Guides
Women in Asia: A data-driven report
A creative-commons book on Backbone.js for beginners and advanced users alike
Underscore.Nest is an extenstion for converting flat data into nested tree structures
Facebook-style tooltips plugin for jQuery
Experimenting with data visualization, using d3.js