Archive for January, 2012
Discussion Sites – Where to Find Answers
It seems not so long ago that I learned the basics of latex on comp.text.tex (btw. Unison is an awesome newsreader). Then came google.groups, and then came just google.
However, recently, I found that a certain category of “search sites” has surfaced. Which seem to be more attractive than the good old usenet. Not sure why. Maybe it’s because you can collect “points”. There are two sites which I started to find interesting:
mathoverflow and stackExchange.
There are really interesting questions being asked and answered:
— What are the examples of situations where “randomizing” a problem (or some part of it) and analyzing it using probabilistic techniques yields some insight into its deterministic version? – see here
or
— What are the big problems in probability theory? – see here
At stackExchange there are even groups:
– stats “Cross Validated”
– scicomp “Computational Science” (Beta – that’s why it looks “sketchy”)
– apple
– tex (but don’t forget comp.text.tex!)
update Saturday; January 14, 2012:
Just shortly after I wrote this, I found out that there’s a little discussion taking place on math overflow about “the Gaussian”
update Sunday; February 12, 2012:
PyDev forums switched to StackOverflow
Identi.ca Weekly Updates for 2012-01-11
- crowd source your #science hire a #lab if you don't have one http://t.co/lnrbsyky #
- Applied #hydromechanics in #GoogleEarth Phase Interference along a coastline, for example. http://t.co/c2v778Up #
- cool way to explore #SanFrancisco http://t.co/73nFrXh2 #
Identi.ca Weekly Updates for 2012-01-04
- Fresh thoughts on #python – "python for humans": pragmatic solutions http://t.co/SzNehRb0 #
- One of the "best science videos 2011" http://t.co/KqH5dJkd: "bad project" http://t.co/5ZQbYEtJ #
- #Predict 2012 with awesome Calvin and Hobbes http://t.co/NMYijxQG – Happy 2012! #
- #python (incl. #numpy anywhere? YES! @pythonanywhere – in your browser, from your smartphone. http://t.co/Y2ejEJUx #
- big #data "nearly all sectors in the U.S. economy had at least an average of 200 terabytes of stored data" http://t.co/6NZENoKg #
- Are dramatic losses such as due to recent flooding in Bangkok to happen more frequently in future? http://t.co/4u5wXQXm #
- @TheEconomist has sorted through the economy this year and selected nine charts that sum up 2011 http://t.co/3UK6DrgM” #