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Is that the same as arguing that mathematics can describe the processing done in modern computing systems, but computers don't do the symbolic and logical manipulations we call mathematics?
It seems to be a similar argument.
I wonder how you know that symbolic processing isn't going in their brains?
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They do math the way a ball player uses a natural parabola to put a ball through a basket. It's math, not on paper, but it's the same calculations and that's what the article is talking about.
Think of how stupid the average person is, and realize half of them are stupider than that. - George Carlin
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Have you ever taken a look at the list of functions available in PHP? I just counted 5025 on the PHP quick reference page. Granted, it depends on what extensions you have enabled, but still: that’s one heap of functions! While I can’t show you every one of them, if you’re new to the language, I’ll introduce you to seven really handy ones in this quick tip! PHP: the good parts.
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JavaScript sucks: The depths to which JavaScript sucks is well-documented and well-understood. We need JavaScript: Using it for what it is good for, i.e. providing a platform for browser development, but not using the language per se, is therefore desirable, and many are working to achieve this, in varying forms. There are various ways to do it, but we ought to opt for compiling an existing language, Haskell, to JavaScript, because we do not have time to learn or teach other people a new language, garner a new library set and a new type checker and all that Haskell implementations provide. Because it is better to learn Haskell than stoop to actually using JavaScript in any form.
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While lambda expressions in .net were derived from Haskell and are a truly gorgeous language feature, I simply don't take enough acid to use Haskell itself.
JavaScript, for it's many faults is at least familiar and actually readable when done well.
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Unfortunately, Haskell also sucks. Does not support OO.
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The advent of the many-core era is not going to push developers to write more parallel code. That hasn't happened as we've gone from 1- to 2- to 4- to 8-core processors, has it? Writing parallel code is not the problem. So, let's stop trying to fix it. Parallel programming is getting easier, but it's not clear most programmers need it at all.
modified 23-Jul-12 7:42am.
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Thanks for the heads up, guys. Links should be fixed now.
Director of Content Development, The Code Project
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First, people should first learn to program properly using callbacks - especially on the client side this sort of parallel (concurrent?) code greatly alleviates the need for multi-threading - and is dearly needed for most programmers, in web development.
Second, parallel code is easy, as long as you partition your data adequately. If all your threads want to access all your data all of the time, you're embracing congested programming instead.
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One of the mistakes I see people make (and have made myself) is assuming that you must choose exactly one ORM strategy for an entire database/application/system. It’s simply not the case. You can (and should) tailor your ORM strategy to your use case, and make sure you’re picking the right tool (or feature of the tool) for the job. To be ORM not to be... that is the question.
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I come across this question from time to time and here's my take on this
(a) For small # entities - use NHibernate (which I stopped using prefer simple LINQ)
(b) For large data retrival - use relational SQL
(c) For large data insert - use bcp if comma not an issue
dev
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Computer scientists from Carnegie Mellon University have devised a framework for running large-scale computations for tasks such as social network or Web search analysis efficiently on a single personal computer. The new software, called GraphChi, exploits the capacious hard drives that are becoming ever more common in personal computers. A graph would normally be stored in temporary memory (RAM) for analysis. With GraphChi, the hard drive performs this task instead. Handy for tasks like estimating the airspeed velocity of an unladen swallow.
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An African or European swallow?
Ideological Purity is no substitute for being able to stick your thumb down a pipe to stop the water
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Warning: Fatal error "Huh? I... I don't know that" occurred.
BSOD
Director of Content Development, The Code Project
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First of all we put our computers away. The tools to become a programmer are paper, pens, tape, candy, ping-pong balls, wooden boxes, cups and other common objects. We start from 0, so we have to tell some stories about numbers, and how influenced by your knowledge of numbers. Erase all you know, start learning to count and move on, through short stories, anecdotes, parallels, trial and error. There will be no code, no editor, no screen.
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"One small step for a man," would not be the iconic line it is today if it hadn't been captured on video, for millions of Earthlings to watch as the first human set foot on the moon. Shooting live video on moon was "crucial for credibility of the mission," but posed a serious logistical challenge. Westinghouse engineer Stan Lebar, who was the program manager of the Apollo TV Lunar Camera project, was tasked with developing energy-efficient cameras that would withstand temperatures of plus or minus 250 degrees. One for the album, Grommit!
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The GA144 from GreenArrays is a highly novel 144 core processor that combines high performance with low power consumption. This post covers initial experiences with breadboarding the GA144 and using the Forth IDE to drive its I/O. Gross parallelism.
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Enyo was originally the official development framework of webOS, the platform that HP obtained in its 2010 acquisition of Palm and later destroyed during Leo Apotheker’s rein of imbecility. Meg Whitman, who replaced Apotheker as CEO, decided to salvage the remaining value of webOS by opening the source code and building a community around the software. webOS is dead. Long live webOS.
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It’s often said that the Age of Information began on August 17, 1964 with the publication of Cooley and Tukey’s paper, “An Algorithm for the Machine Calculation of Complex Fourier Series.” They published a landmark algorithm which has since been called the Fast Fourier Transform algorithm, and has spawned countless variations. Indeed, their work was revolutionary because so much of our current daily lives depends on efficient signal processing. Let's derive and implement a Fast Fourier Transform algorithm for fun and profit!
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Harvard University scientists are working on an Iron Man-like smart suit that could improve soldiers' endurance in war zones.
The university received a $2.6 million research grant for the project from DARPA (Defense Advanced Research Projects Agency), the research arm of the U.S. Department of Defense.
The suit, which is expected to include sensors and its own energy source, will be designed to delay the onset of fatigue, enabling soldiers to travel further in the field, while also supporting the body and protecting it from injuries when the soldier is carrying heavy loads.
I will be like Iron-Man in near Future, but on the other hand they call me Super-Ingo, yet
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Author of Primary ROleplaying SysTem
How do I take my coffee? Black as midnight on a moonless night.
War doesn't determine who's right. War determines who's left.
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OK, now THAT is AWESOME!!!
Bill Gates is a very rich man today... and do you want to know why? The answer is one word: versions.
Dave Barry
Read more at BrainyQuote[ ^]
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