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Sublime Text 2 ships with a CLI called subl (why not "sublime", go figure). This utility is hidden in the following folder (assuming you installed Sublime in /Applications like normal folk. If this following line opens Sublime Text for you, then bingo, you're ready.
open /Applications/Sublime\ Text\ 2.app/Contents/SharedSupport/bin/subl
MapPGP.java - SAP NetWeaver PI mapping program for PGP encryption using the Bouncy Castle framework.
BcPGP.java - PGP utility routines using the Bouncy Castle framework.
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An implementation of the Reader Monad in scala, with correct type variance and some implicit utils to simplify the daily use of Readers, In particular with Future.
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Node and express serving compressed and cached static sapui5 content
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JavaScript Constructor Module Pattern. This module returns a constructor function which can be called with new. This is the alternative to the standard module pattern which returns an object. #javascript
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Tools that read through a directory, stream or tree and create an Application Cache manifest for you.
AppCache is still a douche but luckily there are tools available to take the pain out of generating your initial manifest files:
Grunt: grunt-manifest is currently the de facto option, but the project lead is looking for a new maintainer. In light of that grunt-appcache is an alternative in case you're looking for more active support.
Gulp: gulp-manifest is inspired by grunt-manifest and has a similar set of options.
Broccoli: broccoli-manifest brings manifest file compilation based on trees.
Do review what is generated. As with any automation tooling, be careful that what is being generated is what you actually intend on being cached. I generally rel
Every application ever written can be viewed as some sort of transformation on data. Data can come from different sources, such as a network or a file or user input or the Large Hadron Collider. It can come from many sources all at once to be merged and aggregated in interesting ways, and it can be produced into many different output sinks, such as a network or files or graphical user interfaces. You might produce your output all at once, as a big data dump at the end of the world (right before your program shuts down), or you might produce it more incrementally. Every application fits into this model.
The scalaz-stream project is an attempt to make it easy to construct, test and scale programs that fit within this model (which is to say, everything). It does this by providing an abstraction around a "stream" of data, which is really just this notion of some number of data being sequentially pulled out of some unspecified data source. On top of this abstraction, sca