1: http://www.surveymonkey.com/s/T6B69LK
2: http://teddyb.org/~rlpowell/public_media/lojban_survey.PNG
161 karma · joined May 15, 2009
http://www.wilfred.me.uk
1: http://www.surveymonkey.com/s/T6B69LK
2: http://teddyb.org/~rlpowell/public_media/lojban_survey.PNG
(Moving to bpython solved most of these problem though, as it shows the docstring for a given function inline.)
Also, you end up spending a lot of time reading the docs and so a little typographical polish wouldn't hurt. The page is simply too wide.
http://metaoptimize.com/qa/questions/3103/morphology-parsing...
However I would consider clickthrough rates to be a poorly suited metric for Twitter. If you're not using Twitter to just follow your friends then your typical use case is just dipping in and reading some tweets when you have the time (the 'fire hose' model). Having one million followers does not mean that one million people will read a given tweet.
It would be interesting to see what sectors are targeting this new spam avenue. Facebook's anti-spam approach is largely effective though -- as a centralised service they have a lot of behaviour metrics to characterise misbehaviour.
Still, it raises two questions:
What about fragmentation?
Why don't have a GNU safe-rm yet that moves files to the (freedesktop.org specified) trash location to avoid this?
But to answer your question, I find it fantastic for foreign language learning. Real, native speakers without travelling long distances.