Artificial languages for instructing computers to do steps of computation in order to complete tasks. They allow programmers to communicate with computers.

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291 views

How to process large files in NetLogo?

I am running into problems in NetLogo with large *.csv / *.txt files. The documents can consist of about 1 million data sets and I need to read them (to eventually create a diagram based on the ...
7
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229 views

Using uniqueness types to implement safe parallelism

I've been interested in uniqueness types as an alternative to monads in pure functional languages for some time; unfortunately, this is kind of an esoteric area of CS research and online resources ...
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85 views

How do references work in R?

I'm finding R confusing because it has such a different notion of reference than I am used to in languages like C, Java, Javascript... Ruby, Python, C++, well, pretty much any language I have ever ...
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51 views

Pre-Compilation Processor:

What I want to do: Parse source code, search for a beginning and closing tag of my own definition (one that does not conflict with any defined patterns in the programming language), and then replace ...
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74 views

Best way to handle language interoperability

Background In a language like F#, direct interoperability with most other .NET languages is possible. For example, it is possible to use classes written in C# directly in F#, and it is possible to ...
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53 views

Using JavaScript to find the correct offset in bundled files

I am currently making multiple parsers using PEGjs and have implemented my own partial preprocessor which using a RegExp finds and replaces '#include' directives with the desired files, resulting in a ...
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Why are vectorized loops slower than unvectorized loops in Julia

I'm new to Julia and noticed that this article mentioned unvectorized code being faster than vectorized code. Why is this? I always thought vectorized loops are faster than unvectorized loops because ...