19 karma · joined September 1, 2012
http://babeljs.io/repl/#?experimental=false&evaluate=true&lo...
Although it isn't unique for all the features listed, as JSCS has the same things: an autoconfigure feature, built-in (as well as user created) presets/configs, multiple formatters, custom plugins/rules, custom parsers (esprima/espree/babel), autofixing of almost all rules. Hopefully both projects can benefit or integrate better together more in the future? (I contribute to both!)
I think autofixing for all rules (maybe with https://github.com/cst/cst) would be a nice goal for the future when thinking about the next-generation of linters. Making it easier to update configs when new rules/options are added would be nice as well.
JSCS [3] added autofixing a while back for most whitespace rules, and ESLint has just begun autofixing as well [4]
[1] http://jsbeautifier.org/ [2] https://github.com/rdio/jsfmt [3] http://jscs.info/ [4] https://github.com/eslint/eslint/pull/3635
[1]: https://github.com/babel/babel/issues/1828 [2]: https://github.com/babel-plugins/babel-plugin-dead-code-elim...
Also there's an autofix feature for most of the whitespace rules (`jscs src --preset=airbnb --fix`) so you won't have to fix everything manually.
There's an annotated source for underscore: http://underscorejs.org/docs/underscore.html.
There's also just implementing data structures/algs: https://github.com/felipernb/algorithms.js
http://vimeo.com/94259578 (2014) http://www.gdcvault.com/play/1014982/ (2011)
If anyone likes game talks then check a repo I made https://github.com/hzoo/awesome-gametalks
An example for jquery style commits is https://www.npmjs.com/package/commitplease
Remote: No
Willing to relocate: Open to bay area
Technologies: JavaScript, HTML5, CSS3, Node, d3
Resume: http://henryzoo.com
Github: https://github.com/eltacodeldiablo
Email: henry.z@gatech.edu
New grad looking primarily for a front-end dev position. Interested in doing UI development, visualization, games but open to learning new technologies.
http://twitterhealth.herokuapp.com
Gives you a tweet in the US for you to categorize as being related to veing sick or not. Kind of like crowd sourcing classification of sick tweets. It's pretty interesting just looking through the tweets..
http://i4.minus.com/ibmjeJLRAFCB0Q.png
Crowdsourcing the classification of tweets as sick related or not for my Data/Visual Analytics class. Classified tweets from users are sent to our machine learning alg.
Originally was supposed to show where and what ailments people were dealing with around the world but having only cities doesn't give that great of a visualization.
Using node, d3, cubism, redis.
App: http://twitterhealth.herokuapp.com Code: https://github.com/eltacodeldiablo/twitterhealth