A very 'real world' point and that's true in my experiences.  I favour perl and 
it's my 'go to' but sometimes it's not the best solution. It IS a great 'in' 
and enables people to go from non-coders to the sort of people who knock up 
scripts in a few min to do stuff GUI users would take days to or which couldn't 
really be done another way.  

I 'heart' perl, and it was due to the bordering on charitable tolerance on the 
part of some seasoned perl-ers that got me where I am, doing it (or designing 
stuff which involves its use more these days) for a living. 

Perl is brilliant. Everyone should be told :-D

> On 27 Oct 2013, at 01:04, David Christensen <dpchr...@holgerdanske.com> wrote:
> 
> On 10/26/13 16:25, Ed Davis wrote:
> > I would think the question being asked isn't 'OT' which is namely: what's 
> > runtime v compile time ... (and Python's .pyc's are sort of in the middle). 
> >  Id think a beginners list first task would be to help you make the choice?
> 
> There are a number of dimensions for comparing computer programming 
> languages, including various time parameters -- compile time, start-up time, 
> work done per unit of time, total run time, etc..  An important time 
> parameter for myself and my employers/clients is "how long does it take for 
> David to write a correct program?".
> 
> 
> For "easy" tasks, I can write a Perl program fairly quickly -- minutes to 
> hours.  Perl one-liners are especially gratifying.  When one module or script 
> starts taking many hours, I need to either decompose it or think up a 
> different strategy.  For "hard" programs, I've come to the realization that I 
> need to upgrade my knowledge and skills.
> 
> 
> Thus, my posts about the lambda calculus and the MOP (Perl's HOP and Moose).  
> I'd be curious to know if Python supports them.
> 
> 
> David
> 
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