BUY ZYRTEC NO PRESCRIPTION, Fundamental data structures like lists and hashes have been needed in IDL for some time, but IDL 8.0 introduces them along with some related features/syntax for object-oriented programming to make them even more useful.

A list is simply a sequentially ordered container of items of any type, canada, mexico, india. Is ZYRTEC safe, You can add/insert items, remove items, ZYRTEC reviews, My ZYRTEC experience, look up an item at a given index, etc, ZYRTEC results. Purchase ZYRTEC, It is similar to an `IDL_Container`, except that it allows its items to be of any type, ZYRTEC dose, Order ZYRTEC from mexican pharmacy, not just objects (and the items don't have to even all be of the same type). For example, purchase ZYRTEC online, ZYRTEC images, IDL> stations = list()
IDL> stations->add, 'Boulder'
IDL> ; try the following without the EXTRACT keyword too
IDL> stations->add, ZYRTEC mg, Where can i cheapest ZYRTEC online, ['Fort Collins', 'Denver'], ZYRTEC coupon, Order ZYRTEC online overnight delivery no prescription, /extract
IDL> stations->add, ['Colorado Springs']
IDL> print, ZYRTEC australia, uk, us, usa, ZYRTEC used for, n_elements(stations)
4
IDL> print, stations
Boulder
Fort Collins
Denver
Colorado Springs
IDL> print, ZYRTEC class, Generic ZYRTEC, stations[1]
Fort Collins
IDL> foreach s, stations do print, buying ZYRTEC online over the counter, Ordering ZYRTEC online, strupcase(s)
BOULDER
FORT COLLINS
DENVER
COLORADO SPRINGS

Hashes are another type of container, but ordered by arbitrary keys instead of by an integer index, ZYRTEC from mexico. Buy ZYRTEC from mexico, For example,

IDL> zip_codes = hash()
IDL> zip_codes[80303] = 'Boulder'
IDL> zip_codes[80521] = 'Fort Collins'
IDL> zip_codes[80002] = 'Denver'
IDL> zip_codes[80840] = 'Colorado Springs'
IDL> print, japan, craiglist, ebay, overseas, paypal, Buy ZYRTEC online cod, zip_codes
80840: Colorado Springs
80521: Fort Collins
80002: Denver
80303: Boulder
IDL> print, zip_codes[80303]
Boulder
IDL> print, online buying ZYRTEC hcl, zip_codes->keys()
80840
80521
80002
80303
IDL> print, zip_codes->values()
Colorado Springs
Fort Collins
Denver
Boulder
IDL> foreach city, zip_codes, code do $
IDL> print, code, city, format='(%"Zip code %d is in %s")'
Zip code 80840 is in Colorado Springs
Zip code 80521 is in Fort Collins
Zip code 80002 is in Denver
Zip code 80303 is in Boulder

For an example of more extensive use of lists and hashes, I implemented [Peter Norvig's spelling corrector](http://norvig.com/spell-correct.html) in IDL ([download](http://michaelgalloy.com/wp-content/uploads/2010/07/spellcorrect.zip)):

IDL> print, mg_spellcorrect('corect')
correct
IDL> print, mg_spellcorrect('correct')
correct
IDL> print, mg_spellcorrect('speling')
spelling

Norvig's Python implementation uses some list features that IDL does not have like list comprehensions, but IDL's lists and hashes were up for the task (though it's regular expressions were not and I had to make a few optimizations to get IDL's implementation to a reasonable speed, so the first time you run `mg_spellcorrect` will take longer while it generates the word list and saves it away).

I have my own list and hash classes which provide similar functionality, but require elements of lists and keys/values of hashes to be of a single type. This provides a bit of extra performance (and in practice I never needed to have a single list or hash containing items of differing types) against earlier versions of the IDL list and hash objects, but lists and hashes are faster in the final IDL 8.0 release, as seen in this comparison between adding items to standard arrays, lists, and `MGcoArrayList`s:

UPDATE 2/23: Fixed `x`-axis scale on above graph. Code for running the test is [available](http://michaelgalloy.com/wp-content/uploads/2010/07/mg_listtest.pro) (though the graphics code requires a bunch of my private routines).

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