That is a very profound insight in general. I am glad that I made the mistake. 

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-----Original Message-----
From: Roger Hui <[email protected]>
Date: Mon, 12 Oct 2009 16:06:04 
To: Chat forum<[email protected]>
Subject: Re: [Jchat] [Jprogramming] Limit limitation

> I recall seeing, somewhere on this mailing list, Roger 
> express efficiency of an algorithm as a function of the time it 
> takes run_and_ the time it takes to code. 

You have confused me with Devon McCormick.

One of the advantages of APL/J is that even if you are
an assembly or C programmer, perhaps especially if you
are an assembly or C programmer, it pays to first debug
your algorithm in APL/J before coding in the more
labor-intensive language.  Dick Lathwell, one of the
APL\360 implementers, credits this approach as
the main reason for the high quality of the 
APL\360 implementation.



----- Original Message -----
From: [email protected]
Date: Monday, October 12, 2009 15:31
Subject: Re: [Jchat] [Jprogramming] Limit limitation
To: Chat forum <[email protected]>

> There is site that does this. But I believe Rosetta Code is in a 
> different spirit. Optimizing code for performance is tricky. if 
> you dig deep enough its_always_ about knowing the way the cpu 
> works, regardless of what language you start with you will 
> always have to keep digging into the language the interpreter is 
> written in or how the compiler works or how the virtual machine 
> works. A good J programmer could implement an algorithm more 
> efficiently than a bad assembly programmer. But a good assembly 
> programmer will_always_ be able to implement the same algorithm 
> more effeciently than a J programmer. 
> 
> But J programmers don't care. It will take us a fraction of the 
> time to program it and be able to describe the code in high 
> level human or symbolic language better. And that's where there 
> is room for evangelism in Rosetta Code. We can say look how easy 
> this is to express if you are expressing it in the right 
> language. I recall seeing, somewhere on this mailing list, Roger 
> express efficiency of an algorithm as a function of the time it 
> takes run_and_ the time it takes to code. 
> 
> http://shootout.alioth.debian.org/
> 
> I admire the fact that they admit the benchmarks are flawed. For 
> some algorithms the leaders can change quite often, and it 
> depends heavily on the cpu. Basically because of what I 
> mentioned above. 
> 
> Optimizing code is a never ending story. Optimizing while also 
> making it easier to understand is the real trick. 
> 
> Sent via BlackBerry by AT&T
> 
> -----Original Message-----
> From: Matthew Brand <[email protected]>
> Date: Mon, 12 Oct 2009 22:36:58 
> To: Chat forum<[email protected]>
> Subject: Re: [Jchat] [Jprogramming] Limit limitation
> 
> WRT
> evangelism. Would it be worthwhile to show a comparison of the 
> time to
> execute the given C++ (or
> Python) algorithm on a selected example and the time to execute 
> the given
> algorithm in J?
> 
> For example,
> nth_root takes 300 times as long as %: on my computer. I wonder 
> how long they
> take compared to the Python program?
> 
> It would be good on the Rosetta code site
> if there was a table of execution time comparisons for each 
> language on the
> same machine. I would like to see J vs Python vs C++ in particular.
> 
> I could not work out how to time a program in Python though, and 
> do not know
> how accurate the Ts function from load 
> 'system\packages\misc\jforc.ijs' is.
> I.e., I do not know enough about Python or Ts to fairly publish 
> a time
> comparison, but think it would be useful.
> 
> The question is, is J faster than Python when the best J 
> programmers write J
> vs the best Python programmers writing Python? What about C++?
> 
> 
> 
> 2009/10/12 Dan Bron <[email protected]>
> 
> > I wrote:
> > >  To that end, I've created a page on RC to start that 
> dicussion:> >  
> http://rosettacode.org/wiki//HouseStyle  .
> >
> > The link should've been  
> http://rosettacode.org/wiki/J/HouseStyle  .
> >
> > -Dan
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