Without understanding the state of the art, you can't discover (or invent) the next big thing.
This link has been bookmarked by 242 people . It was first bookmarked on 01 Aug 2006, by Anders.
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Jacques Bosch"One day, you're browsing through your code, and you notice two big blocks that look almost exactly the same. In fact, they're exactly the same, except that one block refers to "Spaghetti" and one block refers to "Chocolate Moose.""
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functors
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purely functional programs have no side effects and are thus trivially parallelizable
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Skynet
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benpjohnsonJoel Spolsky: Can your programming language do this?... http://www.joelonsoftware.com/items/2006/08/01.html
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ed talmadgeJoel Spolsky: Can your programming language do this? http://j.mp/1qDF4p
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anonymous functions as arguments
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Doing something to every element of an array is pretty common, and you can write a functio
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ombine all the values of the array
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whole object with a single method called a functor
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treat a function like a first class object
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create a whole file for each class
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n through the array forward or backwards and get the same result
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map is twice as fas
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work at different levels of abstraction.
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C had function pointers, but they were ugleeeeee and not anonymous and had to be implemented somewhere else
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Add Sticky NoteWithout understanding functional programming, you can't invent MapReduce, the algorithm that makes Google so massively scalable.
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Rodrigo de OliveiraExemplo de uso de funções map e reduce de primeiro nível em linguagems de programação
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aminggs"The really interesting thing I want you to notice, here, is that as soon as you think of map and reduce as functions that everybody can use, and they use them, you only have to get one supergenius to write the hard code to run map and reduce on a global
document article blog programming javascript inlink:raganwald java functionalprogramming languagewar joel-spolsky mapreduce higherorderfunction joelonsoftware import:delicious
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Guy FawkesWithout understanding functional programming, you can't invent MapReduce, the algorithm that makes Google so massively scalable. The terms Map and Reduce come from Lisp and functional programming. MapReduce is, in retrospect, obvious to anyone who remembe
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S JonesExplains the power of MapReduce parallelism from the ground up using simple JavaScript
javascript algorithms MapReduce parallelism cloud.computing _delicious
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16 Jun 08
Jeff SlutterWithout understanding functional programming, you can't invent MapReduce, the algorithm that makes Google so massively scalable.
algorithms functional c# mapReduce programming python tutorial
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07 Jun 08
Gary EdwardsJoel waxes eloquent on JavaScript and functional programming languages. He points out the value of Google's "MapReduce" and the search advantage they have over Microsoft. Good stuff.
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brockmoellerMapReduce is, in retrospect, obvious to anyone who remembers from their 6.001-equivalent programming class that purely functional programs have no side effects and are thus trivially parallelizable.
Bookmarks architecture closures programming javascript functional development software mapreduce
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ken .This is a sweet article - funny haha, we're talking about the swedish meatball chef on the muppets, any fool can understand it, without worrying that we're actually talking about the magic sauce of Google's map reduce (nouns/objects != functions)
fun functional google humor java javascript learning lisp programming simplicity writing
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