Algorithms are a fascinating use case for visualization. To visualize an algorithm, we don’t merely fit data to a chart; there is no primary dataset. Instead there are logical rules that describe behavior. This may be why algorithm visualizations are so unusual, as designers experiment with novel forms to better communicate. This is reason enough to study them.
Microsoft .NET Native
.NET Native compiles C# to native machine code that performs like C++. You will continue to benefit from the productivity and familiarity of the .NET Framework with the great performance of native code. Popular Windows Store apps start up to 60% faster and use 15-20% less memory when compiled with .NET Native.
StrongLoop | Practical Examples of the New Node.js Streams API
Node brought a simplicity and beauty to streaming. Streams are now a powerful way to build modules and applications. Yet the original streams API had some problems. So in Node v0.10, we saw the streams API change in order to fix the prior problems, extend the APIs to encapsulate more common use cases, and be simpler and easier to use
robbl/node-dbpedia-spotlight-nif · GitHub
takes a GET or POST request with a parameter called input
queries dbpedia-spotlight annotation endpoint for named entity recognition on the given input
supports mapping of dbpedia to NERD ontology classes (version 0.4)
caolan/async · GitHub
Async provides around 20 functions that include the usual 'functional' suspects (map, reduce, filter, each…) as well as some common patterns for asynchronous control flow (parallel, series, waterfall…). All these functions assume you follow the Node.js convention of providing a single callback as the last argument of your async function.