James is also on the Lerna team as well! He and I can answer questions about that too. (We also have a slack https://slack.lernajs.io/)
HN user
eltaco
You can use loose mode which doesn't use try/catch blocks
http://babeljs.io/repl/#?experimental=false&evaluate=true&lo...
You can use loose mode or the loose option in that case.
ESLint is pretty awesome - the project has a great team and always adding new functionality (cache and then parallel linting sound great)!
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.
There's an issue for a CST (AST with whitespace, comments, etc) in the estree repo [1]. JSCS is planning on using https://github.com/mdevils/cst for future autofixing rules.
For javascript, there's been jsbeautifier [1], jsfmt [2], uglify.
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
Babel is working on minification[1] /dead code elimination [2] as well now
[1] https://github.com/babel/babel/issues/1828 [2]: https://github.com/babel-plugins/babel-plugin-dead-code-elim...
You can use the airbnb preset with JSCS (javascript code style checker) [1].
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 currently a issue for "speed": https://github.com/babel/babel/issues/1486. Looks like it complied ember core from 50s to 18s now.
Not sure if it's changed now but https://medium.com/@STRML/ending-jsxhint-1c09ed36cca9.
You can also use them on class declarations themselves and object literals - https://github.com/wycats/javascript-decorators#object-liter...
Great! Reminds me of color thief: http://lokeshdhakar.com/projects/color-thief/
You could try implementing some of the methods in underscore/lodash - http://underscorejs.org/? Each of those are pretty simple and can build off each other - you'll learn how to deal with arrays, objects, functions, arguments, apply/call, this, etc. You could write your own tests or use their unit tests as well to get some practice with testing. I was planning on doing this myself at some point haha.
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
Some more talks:
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
a pre-commit git hook?
An example for jquery style commits is https://www.npmjs.com/package/commitplease
I've been using jscs [1] for js style checks.
Location: Atlanta/Alpharetta | Full-time
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.
This is similar to a project I did for my visual/data analytics class
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..
TwitterHealth
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
Check out Tweetpleth if you want more specific tweets http://tweetpleth.herokuapp.com/ like for the superbowl http://i.imgur.com/bzmmJno.png
I made a visualization that shows the tweets for specific words and can account for population density (only US though): http://tweetpleth.herokuapp.com/
I made a project that is similar - shows a bit more information except its only for the US and you need to search a specific word/hashtag. http://tweetpleth.herokuapp.com/
Yeah i'l get on that soon. I'm using the location filter to only get tweets in the US. 'locations': ['-180','15','19','72']}
A final project for a class I took at GT (CS 4460: Intro to Info Vis). Thought it was viable as a an actual website since its realtime, so I put it up using heroku's free service.
hell week -> dead week -> finals week