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Old 04-03-2012, 09:40 PM   #21
ETHANol
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Quote:
Originally Posted by rskr View Post
Another way to think about it is Perl is the software equivalent of duct tape. Sure you can rig up all kinds of Novel devices by taping them together or fix broken stuff with it, but not something that gets taught in your mechanical engineering course. You learn that on the job.
You want to make the perfect program. That's cool. I am glad there are people out there doing that. But some people are much more interested in biology and see computing as a tool. Higher level languages are very useful and save a lot of time. When you learn the intricacies of molecular biology, cell biology, biochemistry, immunology, developmental biology, cancer biology, etc., I'll say you have the right to come here and post about how people that use higher level languages are lazy and stupid. Until then.....

Most inane internet argument ever.
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Old 04-04-2012, 04:04 AM   #22
lsbrath
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Perl was the glue for the Human Genome Project. If you need speed then yes you go with a compiled language. Other than that scripting has proven its worth.
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Old 04-04-2012, 07:00 AM   #23
rskr
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Originally Posted by ETHANol View Post
I'll say you have the right to come here and post about how people that use higher level languages are lazy and stupid. Until then.....

Most inane internet argument ever.
I use interpreted languages like Perl, they have their place, just not in academia as a teaching language.

Maybe you could teach people to program Perl on Macs, because the bioperl libraries aren't cross platform.

Then again why are you using the biolperl libraries for a class, have you seen the code in there? Maybe you could answer all the kids questions about why X Y or Z libraries wasn't fully implemented or breaks, and just tell them Perl programmers are the most wonderful people in the world, they were on the Human Genome Project.
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Old 04-04-2012, 07:22 AM   #24
lsbrath
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Do what makes you happy as long as it works. The saying goes that a poor rat has only one hole. There are many folks in the bioinformatics community that have been very successful using only Perl with BioPerl and increasingly R and Bioconductor.
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