[ Home | Articles | Account | People | Projects | FAQ ] Y'ALL - Happy Father's day.
Playing Tom Traubert's 'Waltzing Matilda with me'
Wasted and wounded And it ain't what the moon did I got what I paid for now See you tomorrow Hey Frank can I borrow A couple of bucks from you To go waltzing Matilda waltzing Matilda You'll go waltzing Matilda with me
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Splendid! crowed the witch. "Here's your fortune."
Otchky-potchky, itchky-pitch pay attention to this witch a donkey takes you to a knight him you conquer in a fight then you wed a princess who is even unglier than you HAHAHA... cockadoodle the magic words are "apple strudel"
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I recently had an opportunity to develop a project in Python. I have previously had a largely neutral opinion about this language. However after more serious development I would like to share some doubts.
I will not be talking about the implementation - related issues. Also, Python do has positive, advanced features that are worth noting. Python code for the same task is really shorter: you need more C or even Java code to write something like a = b[:3], and especially b[-1] looks nicer then b.get(b.size()-1). But when line number rolls over the first thousand, more things began to matter.
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The Program to CodeCon 2009 is now up, and registration is at the early rate of $75 for all three days until April 1st, after which the cost goes up.
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happened to surf on Chuck H. Moore's new company IntellaSys.
I am browsing these whitepapers. Eash one seems to be a rare pearl by the SEA.
Extreme Forth by Steven Pelc on Sept. 2008 Dr. Dobb
IMHO, Chuck has deviced a simple yet holistic way to see that the power of language and the power of circuit wouldn't cancel each other out in the process of solving complex machine-human problems.
The stick + the word + the floor plan
IntellaSys’ 40C Processor Technology Creates Benchmark
ThinkingForth in Chinese
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The British Broadcasting Company has made a request for contributions to an open standard to be made, for the distribution of audio and video, both offline and real-time broadcasting. Their plan is effectively to act as the mediator between box manufacturers and content producers, with themselves as one of the content producers, but definitely not as set-top box manufacturers.
Challenges faced include an assumption that it is reasonable to expect ISPs to insert cacheing boxes on their premises, and an assumption that "downloading" - especially at high speed - is "the way to go". Also, there is yet again the risk of some idiot content producers trying to DRM an open standard.
This article will provide some answers to these tricky issues, and they're not all "Technical" answers. For the most part, the solutions are psychological, and take comfort in the fact that most users are ordinary people not interested in blatant copyright theft, they just want to watch stuff. Ultimately, content producers are going to have to get used to the fact that they are simply going to have to trust people.
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As part of a reorganisation of Pyjamas, best known as a python port of GWT, dynamic module loading using AJAX has been added. The deployment of dynamic module loading results in over a 60% reduction in the amount of javascript cache file sizes, as the modules can be shared across multiple platforms (GAE pyjamas users are hitting the app engine limit even with the simplest of apps, due to the old one-cache-file-per-platform design).
This article describes how the standard technique for dynamic loading of javascript scripts was used as a basis for bring python "import" semantics to a javascript compiler. The advantages of individual module loading - including third party javascript modules - should be clear.
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Abstract:
Language acquisition and processing are governed by genetic constraints.
A crucial unresolved question is how far these genetic constraints have
coevolved with language, perhaps resulting in a highly specialized and
species-specific language "module," and how much language acquisition
and processing redeploy preexisting cognitive machinery. In the present
work, we explored the circumstances under which genes encoding
language-specific properties could have coevolved with language itself.
We present a theoretical model, implemented in computer simulations, of
key aspects of the interaction of genes and language. Our results show
that genes for language could have coevolved only with highly stable
aspects of the linguistic environment; a rapidly changing linguistic
environment does not provide a stable target for natural selection.
Thus, a biological endowment could not coevolve with properties of
language that began as learned cultural conventions, because cultural
conventions change much more rapidly than genes. We argue that this
rules out the possibility that arbitrary properties of language,
including abstract syntactic principles governing phrase structure, case
marking, and agreement, have been built into a "language module" by
natural selection. The genetic basis of human language acquisition and
processing did not coevolve with language, but primarily predates the
emergence of language. As suggested by Darwin, the fit between language
and its underlying mechanisms arose because language has evolved to fit
the human brain, rather than the reverse.
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The UK Government has made it clear that Open Source and Open Standards, with a focus on re-use of software development and deployment, is to clearly and unequivocably be part of the decision-making for UK Government I.T. procurement and contracting. Also part of the policy is a clear committment to engage with the Free Software community and to actively encourage the development of "Government-Class" Free Software products.
(tag keyword: #ukgovOSS at the cabinet office's request)
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At FOSDEM 2009, Gary Benson of Red Hat presented Shark. (Slides at http://gbenson.net/wp-content/uploads/2009/02/fosdem-2009.pdf) Shark is a port of OpenJDK that uses LLVM to do JIT code generation. While Shark is pretty fast when compared with OpenJDK's C++ interpreter, it's still quite a lot slower than gcj. gcj is a fairly straightforward bytecode->native compiler and doesn't use many of the Java-specific optimizations in HotSpot, so I was of the opinion that Shark and gcj ought to be similar in speed. So, I wanted to find out why Shark was slower than gcj.
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