R for Traders retweeted
New package nanotime 0.0.1
High-resoultion nanosecond time functionality for R
goo.gl/Pn1Ynm
#rstats
R for Traders retweeted
Check out our shiny new website! juliacomputing.com/
R for Traders retweeted
Coworker on RL research: "We were supposed to make AI do all the work and we play games but we do all the work and the AI is playing games!"
R for Traders retweeted
#python humor:
The bartender says, "We don't serve race conditions here".
A thread walks into a bar.
R for Traders retweeted
Really enjoyed watching @StefanKarpinski's talk about plans for the #julialang 1.0 release: youtube.com/watch?v=5gXMpbY1…
R for Traders retweeted
R/Finance 2016 kicking off with 4 pre-conference tutorials! #rfin2016
R for Traders retweeted
#julialang now featured in a TV Show A.L.I.E The 100. imgur.com/yYc3ZBy
R for Traders retweeted
R Tip: y <- x[!x %in% boxplot.stats(x)$out] will remove all outliers from x. #rstats #datascience
R for Traders retweeted
Habits of happy people:
1 rise early
2 help others
3 learn new skills
4 find small daily wins
5 talk less
6 pay it forward
7 no entitlement
R for Traders retweeted
Eigenvectors and eigenvalues explained visually setosa.io/ev/eigenvectors-an… via @setosaio
R for Traders retweeted
ggplot is "an extremely un-pythonic package for doing exactly what [R's] ggplot2 does." github.com/yhat/ggplot
R for Traders retweeted
Looks ambitious, interesting, difficult //Hierarchical Causality in Financial Economics SSRN papers.ssrn.com/sol3/papers.…
R for Traders retweeted
Renormalization, Physics and "Deep Learning" Algorithms shar.es/1b2xOE h/t Dave Edwards
R for Traders retweeted
Bryan Lewis runs 16M node network analysis in <2m on a Chromebook #RFin2014 IRL pkg: goo.gl/ZtbYt6 slides: goo.gl/ZbJEUO
R for Traders retweeted
Splum for iOS is live! goo.gl/Ja7zge The first micro-social networking app that uses Apple’s iBeacons® to discover matches nearby!
R for Traders retweeted
Who says you can't have the best of both worlds? Here is how to call #Python from R with rPython #rstats #DataScience buff.ly/1cwxYij


















