best approach to extract from long string tables and other info

[GS]

I need to extract sections out of a long string of about 5 to 10 KB, change
any date format of dd Mmm yyyy to yyyy-mm-dd, then further from each section
extract columns of tables.
what is the best approach in using regex for this? I can see match and
replace the dates, extract section with regex, and then for each section
extract again with the right regex the tables....

[rowe_newsgroups]

On Mar 19, 5:47 am, "GS" <[e-mail]>
wrote:

I need to extract sections out of a long string of about 5 to 10 KB, change
any date format of dd Mmm yyyy to yyyy-mm-dd, then further from each section
extract columns of tables.

what is the best approach in using regex for this? I can see match and
replace the dates, extract section with regex, and then for each section
extract again with the right regex the tables....

Besides from Regex, you might be able to use a LINQ query to parse the
string (if you're using the 3.0 or greater framework). I've only
started to play around with LINQ, but I know Jon Skeet has written
about how LINQ can have much better performance than Regex, but it
will depend on structure of the string and other things.

Thanks,

Seth Rowe [MVP]