Thanks again for all the replies and encouragement - yay friendly mailing list :) I'm happily working through one of the books and am going to try to tackle this Udacity course http://www.udacity.com/overview/Course/cs101/CourseRev/apr2012
Hopefully I'll see some of you at next month's hack day. Thanks again Francis On Jun 29, 2012, at 10:14 AM, skeeter murphy wrote: > Not a python programming solution, though python is used in it, Splunk > might be the quickest way to search through logs and for doing analysis on > them. http://www.splunk.com/ It's free up to a certain amount of log data. > > fyi: I don't work for splunk, I just use splunk a lot and it is awesome. > > skeeter > > > On Fri, Jun 29, 2012 at 9:47 AM, Dan Young <[email protected]> wrote: > >> On Fri, Jun 29, 2012 at 7:32 AM, Francis Storr <[email protected]> wrote: >>> I also occasionally have to trawl through search logs and they generally >> need >>> a good amount of cleaning up before I can start to analyze them. I could >> try to >>> use a mixture of grep and sed to do that, but why not try something else >> that's >>> probably easier? I'm also interested in what tools there might be to >> help with >>> analysis of that data. >> >> This has some neat, practical (AKA not a Fibonacci sequence) >> demonstrations of Python generators for log parsing: >> http://www.dabeaz.com/generators/ >> >> -- >> Dan Young >> _______________________________________________ >> Portland mailing list >> [email protected] >> http://mail.python.org/mailman/listinfo/portland >> > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: > <http://mail.python.org/pipermail/portland/attachments/20120629/56d45688/attachment.html> > _______________________________________________ > Portland mailing list > [email protected] > http://mail.python.org/mailman/listinfo/portland -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://mail.python.org/pipermail/portland/attachments/20120630/21ae4adf/attachment.html> _______________________________________________ Portland mailing list [email protected] http://mail.python.org/mailman/listinfo/portland
