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This is my favorite way of handling CSV files and CSV inputs for DSLs. It's handled many cases that the other modules I tried couldn't handle. And it's pretty fast too.
JT Smith - 2011-06-18T08:30:18
With this module, I never have to re-invent the wheel when it comes to handling CSV files. This module has handled every CSV I have needed to parse.
Bob Root - 2009-06-15T06:35:33
This module is really great & always my first choice to read (and write ;-)) any kind of CSV.
It experienced no problems with CSV files from any kind of program - just simply tell the new() method, how the bunch you're about to read looks like, and it works.
Hint: People reading foreign language CSV's should remember to set the "binary" attribute, otherwise you cannot read extended characters.
TVoss - 2008-09-29T06:29:12
It reads all kinds of crazy insane CSV variants that crazy insane people throw at my software. Once or twice, when it wouldn't handle one, I complained to the author and he made it work very quickly. This is the place to start for CSV reading.
Ricardo Signes - 2008-03-31T05:48:05
Once again I needed to parse CSV with slightly odd options. Text::CSV_XS saves me so much time and is, like said before, faster than Text::CSV.
With very simple CSV, a split() would probably be enough. When it gets a little more tricky, simple use this module.
B10m - 2008-03-27T01:50:24
As a Perl newbie I didn't realize that the XS suffix indicated that this module required access to a working C compiler and make :(. Just a warning to the uninitiated. Otherwise this looks great and I wish I could use it.
Eric D. Moyer - 2007-09-11T06:42:05
Easy to use and fast.
It would be nice if there was a better way to handle embedded newlines in fields.
gav - 2004-08-20T09:14:23
Significantly faster than Text::CSV and still my favorite way to get data into and out of MS Excel.
Matt Hicks - 2004-08-19T12:48:07
It'd be nice if combining & stringifying were one easy step, but other than that, this module has saved me tons of time.
Andy Lester - 2004-05-25T21:45:45
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