Profile_bird

Hey there! pauldix is using Twitter.

Twitter is a free service that lets you keep in touch with people through the exchange of quick, frequent answers to one simple question: What are you doing? Join today to start receiving pauldix's tweets.

Already using Twitter
from your phone? Click here.

pauldix

  1. @simply_mql well, and have another one called raw_headers that gives you the untouched string
  2. @simply_mql that might break some things. I think I'm ok with it though.
  3. @simply_mql there isn't, but I'd totally be into patches with that kind of support. request.headers is the raw header string
  4. heading to Good to have brunch with @joewest, @tikkers, and anonymous
  5. @dmota17 @thetimmorgan I'm around, what days are you in town?
  6. At the NYC machine learning symposium. Robert Bell is giving a talk about BellKor's winning solution to the Netflix prize
  7. @brynary happy birthday!
  8. @dbalatero damn, now i have to learn how to sample. "What a Fool Believes" would be perfect material for this
  9. @nakajima @appletreesloth @brynary you are all imposters. Don't make me create a rap song about it.
  10. @cashion oh I'm most certainly ready
  11. just registered for the NY Machine Learning Symposium on Nov 6th: http://bit.ly/4eEiGS
  12. @tenderlove @dbalatero all this Michael McDonald talk is making me crave karaoke
  13. @tmm1 oh the matching is exactly why I <3'd topic exchanges.
  14. wow, RabbitMQ is pretty much the most awesome messaging system ever. I <3 topic exchanges.
  15. @lindvall there isn't currently, but I think it's a good idea to add that in
  16. I just updated the documentation for the new insanely great interface for Typhoeus (my Ruby HTTP client) http://bit.ly/dmepe
  17. Good nyc.rb hackfest tonight. Did point releases on two libraries and started a rework of my first
  18. omg, new EC2 instance types. me likey: http://bit.ly/27nVxA
  19. Facebook share analytics APi is huge: http://bit.ly/46jAB
  20. this NIPS workshop "Large-Scale Machine Learning: Parallelism and Massive Datasets" looks awesome: http://bit.ly/2E7vWW