Here is the latest bag of tweets^*, which covers April 2014.

(*) These are interesting news that I found on Twitter and that I archive periodically.

• samueljohn_de: Reminder that Screenhero is great http://t.co/u2qzT4dfsd and I hope it will remain free (for personal use) after the beta. Not sure, though. (25 Apr)
• trebor74hr: gogits/gogs · run your own GitHub https://t.co/swd6bXg9Oe (25 Apr)
• BrainCosmos: Mental health: More than neurobiology: Nature http://t.co/ImdkCnzWPm (25 Apr)
• berndweiss: for the last year or so i have been using #waf instead of #make what a great tool! https://t.co/JbjX2obLM7 #python (25 Apr)
• ramnath_vaidya: @vlandham Oops link here http://t.co/FXBXzoi7zy @arvindsatya1 (24 Apr)
• hadleywickham: cool new lambda syntax for #rstats: lambda(x -> x ^ 2 + 2 * x) https://t.co/5ibthjzj1K (24 Apr)
• kwbroman: Interesting post by Tim Gowers: data on academic publishing, and elsevier boycott 2 yrs later. http://t.co/6WjaBZYKe2 (24 Apr)
• moorejh: Cool #visualization reveals the number Pi http://t.co/ljimrAH0V9 #infovis #dataviz #math #mathchat #mathematics http://t.co/hVEhb47HCx (24 Apr)
• hadleywickham: My (tiny) experience with github & sexism: https://t.co/MjFa1FbzR8 (24 Apr)
• CompSciFact: Why functional programming matters http://t.co/baNLsbpRbq [pdf] (24 Apr)
• freakonometrics: “Where Income Is Higher, Life Spans Are Longer” <http://t.co/QYLGg6rcEY see http://t.co/mvf9NbbOYE (24 Apr)
• gerardjgorman: .@LorenaABarba @NotebooksBoom I rewrote my intro to prog lecture using ipython notebook. Result -> happier students http://t.co/9xd3z4XRDe (24 Apr)
• Rbloggers: Publishing an R package in the Journal of Statistical Software: (This article was first published o… http://t.co/AmHQuZC0Qm #rstats (24 Apr)
• LorenaABarba: The @Udacity course “Intro to Parallel Programming” by my friends @jowens & @davedotluebke is still on. Learn #CUDA https://t.co/nt3vdQAyu9 (24 Apr)
• michaelhoffman: A skeptical “summary of the evidence that most published research is false” by @jtleek http://t.co/RNyUuY0SLW (24 Apr)
• fperez_org: Heat and Violence in Chicago: the amazing @bkeegan is at it again with a detailed data analysis you can reproduce: http://t.co/sq6qeLBLRX (24 Apr)
• jbryer: Some updates to Rgitbook #Rstats package adding support for knitcitations and other fixes for the update to gitbook. http://t.co/wuHnoo61nq (24 Apr)
• HNTweets: What I Wish I Knew When Learning Haskell 2.0: http://t.co/XwzZ2t6BlQ Comments: https://t.co/CAQsX063Fb (24 Apr)
• dysinger: A new version of Lisp Flavored Erlang is out today @ErlangLisp http://t.co/jOY0LlDuvS (24 Apr)
• danielszmu: REPL functions to support the reloaded workflow by the one and only @weavejester https://t.co/g5MXXf4Gz4 #clojure (24 Apr)
• Rbloggers: Benchmarking RRE and SAS: (This article was first published on Revolutions, and kindly contribute… http://t.co/aZzSG6v8uI #rstats (24 Apr)
• kdnuggets: Great list: 9 Python Machine Learning Books covering scikit-learn, Web 2.0, algorithms, social web, NLP, Vision http://t.co/DgD4i8NZHe (24 Apr)
• edyong209: Awesome. John Ioannidis heads up a new centre to improve reproducibility in science. Nice acronym too. http://t.co/I29AZXoePS (24 Apr)
• cyrillerossant: Announcing the IPython Cookbook: the definitive guide to high-perf scientific computing and data science in Python http://t.co/qkzvy5HZR7 (24 Apr)
• igrigorik: 10 commandments of (good) typography: http://t.co/vBYxSNyesF - great tips. (24 Apr)
• YhatHQ: Redis’ Geospatial commands - http://t.co/2GGTnIgp99 (24 Apr)
• YhatHQ: Great post on Bokeh Maps by Anand Bisen | http://t.co/l5fVm7E0WK @abisen (24 Apr)
• commandlinefu10: http://t.co/udIK3eJwEg - Generate a random password 30 characters long (atoponce) #gpg #password #random #entropy (23 Apr)
• flash_us: Hylas-Lisp: A JIT-compiled #Lisp dialect targetting #LLVM. https://t.co/hzHJPLkgJr via @ajlopez (23 Apr)
• SublimeTxtTips: RT @alexoliverwd Quite a nice theme for #sublimetext https://t.co/4wUIVmgRac (23 Apr)
• randal_olson: Wow, I go in at 10am -> Which Cities Sleep in, and Which Get to Work Early Source #dataviz: http://t.co/dF6JIWQVdn http://t.co/wXuFNqvUwi (23 Apr)
• toccaceliblasi: RT @JeanAbbiateci: “Outil #ddj. C3JS, une série de graphiques simples dont le code est facilement réutilisable” | http://t.co/I6WmX27arC (23 Apr)
• flash_us: Blog with posts on statistical computing in #Haskell http://t.co/39q6bnl1Np via @StatFact (23 Apr)
• jonathansick: Good on @nytimes for releasing their R electoral modelling code! ht @TheChangelog https://t.co/kgot4x0i8x (23 Apr)
• conradhackett: Increase in median income since 2000 Britain 20% Canada 20% US 0.3% http://t.co/q3J0CQKnJl http://t.co/3bFByHEnHo (23 Apr)
• recology_: so awesome!!!!!!! MT @mwpennell: @github repo to fully reproduce everything in our JEcol paper https://t.co/gcrXpXfhmN really proud of this (22 Apr)
• sshishkin: Wiki and REPL merged together result in a very cool browser-based live coding environment in #clojure: https://t.co/qMIBsIj65V. (22 Apr)
• biotimylated: Quote from “Evaluating the Design of the R Language” http://t.co/YCp9EP63d1 (was cited as evidence that R isn’t so bad, which, lol) (22 Apr)
• hfmuehleisen: Release 0.9.2 of MonetDB.R, the @MonetDB <> #Rstats connector is now on #CRAN. #dplyr (dev) compatibility! Changelog: http://t.co/5qb4Hujkhx (22 Apr)
• SublimeTxtTips: RT @PSD2HTML A Quick Guide to #SublimeText: http://t.co/c2s5rHw431 by @jendmann (22 Apr)
• jbryer: New Rgitbook #Rstats package available http://t.co/xLZw5fYgwr @GitBookIO (22 Apr)
• blattnerma: “@neal_lathia: Small data, where N=me (via @cecim) http://t.co/1GOCzc19HO #mhealth” (22 Apr)
• kdnuggets: Cheat Sheets for Data Scientists: R #rstats, #Python, #SQL, HiveQL, and more http://t.co/aXO10vThaJ (22 Apr)
• nhigham: #iPython notebook version of tutorial from MATLAB Guide (http://t.co/p9bKYt9U7f) - http://t.co/dtnRgzT57V (22 Apr)
• nytgraphics: Compare American incomes across the full distribution: http://t.co/zuQF67f9rF http://t.co/gaTMpGqMZM (22 Apr)
• YhatHQ: K-means Clustering and Visualization | @chrispolis | http://t.co/wNGxBYB5TH (22 Apr)
• HarlanH: Diving into Statsmodels with an Intro to Python & Pydata - Data Community DC http://t.co/6tALoCRZBr (22 Apr)
• paulblaser: Swiftly and Machine Learning: Part 1 - 99designs Tech Blog - http://t.co/KFQ7u4GKMc (22 Apr)
• rdpeng: “the best classes I took were Coursera’s data analysis in R and Codeacademy’s python.” http://t.co/YqnGlhviYT (22 Apr)
• hadleywickham: @geospacedman ended up going in a different direction by using a class with custom knit print behaviour: https://t.co/OhXTidZewR (22 Apr)
• fperez_org: Pandawash: because you want your dataframes to be squeaky clean! An @IPythonDev extension by @takluyver: http://t.co/5foZ13XDmc (22 Apr)
• biorxivpreprint: Regulatory variants explain much more heritability than coding variants across 11 common diseases http://t.co/GZah2TLKMf (22 Apr)
• eddelbuettel: Read / write xlsx files in R without needing Java MT @CRANberriesFeed New CRAN package openxlsx http://t.co/ANqeiW4cJp #rstats (22 Apr)
• RDub2: RT @siah: Fantastic article “Scientific method: Statistical errors” http://t.co/cX9B4I28UQ (21 Apr)
• YhatHQ: How to build a recommendation system by Mickael Le Gal | http://t.co/dTaS2lf80v @mickaellegal (21 Apr)
• DataCamp_com: Our latest blog: Now free interactive R exercises on OpenIntro via datacamp http://t.co/4R6eWjBNzf http://t.co/13984diExw (21 Apr)
• HarlanH: #DataScience in e-Commerce http://t.co/uPtkSdbDa9 < great summary of many aspects of data scientists’ value in biz by @LeapingLlamas 21 Apr)
• YvesMulkers: How ICD-10 Will Unlock a New Market for Data Analysis http://t.co/zvFDjXw1d5 (21 Apr)
• richierocks: How to draw plots for presentations in R (because I am nearly 35 and my eyesight is fading). http://t.co/IccVaFaUBR (21 Apr)
• vivian__zhang: Very first NYC Data Science Academy newsletter: http://t.co/89zEPWzw1o http://t.co/pfOjQBpdxj (21 Apr)
• guerciotti: @dartdog you should know about this http://t.co/LpXkPZhz2z (21 Apr)
• evmaiden: How to Make #GoogleDrive Work Like a Desktop Suite http://t.co/D1x1VGSRPP (21 Apr)
• FGRibreau: waffle.io - Publicize your workflow (tightly integrated with Github) http://t.co/NtDbOCqRjN (21 Apr)
• ronert_obst: R-3.1.0 + OpenBLAS Speed Comparisons http://t.co/RkOZNGXQ1H (21 Apr)
• oceankidbilly: .@LorenaABarba’s AeroPython notebooks are awesome: http://t.co/DzBFcT7pv7 my favorite detail? Really nice typography. (21 Apr)
• hackernewsbot: The Convergence of Modern C++ on the Lisp Programming Style… https://t.co/c0t3WNY5tP (21 Apr)
• rasbt: Okay, was not quite done with my kernel density estimation article. New section how to use it to classify patterns: http://t.co/0qUvJU9O4B (21 Apr)
• hypercott: If you are in support of open-source codes and open science: sign the Science Code Manifesto http://t.co/s15GuiIRpH (21 Apr)
• ErgoEmacs: Emacs: Save Cursor Position Across Sessions http://t.co/wDRPmIByrj (20 Apr)
• vicapow: epic visualization of neural networks in #js http://t.co/OKGJABVViW (20 Apr)
• ErgoEmacs: #Scheme #Lisp inventor Guy Steele on Parallel Programing: Get rid of cons! http://t.co/UlLuDpxzsE (20 Apr)
• siah: All the talks ICLR 2014 are now available online http://t.co/D2JtbpDnYS #MachineLearning (20 Apr)
• tdhopper: As I’ve argued, moving averages are a much better way to monitor body weight. https://t.co/wPacesjvHo I wish @Withings would implement this. (20 Apr)
• lancejpollard: TeX vs. MathML is analogous to PDF vs. HTML - http://t.co/mIneZXmUDK (20 Apr)
• scottsburns: A toy MR image viewer using interactive widgets from @IPythonDev 2.0. Notebook http://t.co/4XuFXPV0LL and repo https://t.co/Cvh5PE6OW8 (20 Apr)
• rasbt: We had MATLAB-NumPy cheatsheets, NumPy-R cheatsheets, but what about an R-Pandas cheatsheet? It’s here: https://t.co/FUtdjgXCiw (20 Apr)
• mxlearn: Alternating Least Squares Method for Collaborative Filtering (Ipython Notebook) http://t.co/huRS53oF7p (20 Apr)
• ogrisel: Find top 10 slowest tests with: pip install nose-timer && nosetests –with-timer –timer-top-n 10 mypackage #python (20 Apr)
• _inundata: @genetics_blog A lot simpler and easier with twitteR and a DM. Been doing this for a long time. (20 Apr)
• genetics_blog: Cool, because I definitely want #Rstats to push-notify my iPhone when that analysis is done https://t.co/lkO9UXDXeg (19 Apr)
• abmathewks: Date formating in R http://t.co/e72oMwaJWH (19 Apr)
• jeffheaton: So far, very impressed by the Johns Hopkins Data Science Certification at @coursera http://t.co/Crb2rjpCD6 @simplystats (19 Apr)
• ErgoEmacs: Emacs: Using Bookmark Feature http://t.co/pHHTXiPcav (19 Apr)
• pheinberg: FAQ in progress for #processing Python Mode: https://t.co/qz9SXOXRCs Includes “Can I use SciPy!? Can I use NumPy!?” Spoiler: nope. But… (19 Apr)
• treycausey: This @yhathq on scikit-image is one of the best intros to image ML that I’ve seen. http://t.co/ZBmSd9IYHL (19 Apr)
• mbostock: Neural Networks, Manifolds, and Topology by @ch402 http://t.co/IRBF3QoKu1 (19 Apr)
• BethSkw: We can track disease from public data like Wikipedia lookups. Is this an ethical minefield? My latest for @plosblogs http://t.co/7O9GUYOG4o (19 Apr)
• terrygseo: http://t.co/xtbvefWWao looks pretty great. (19 Apr)
• SAGE_Methods: “R” you looking for books on R? Look no further. #rstats #rcommander http://t.co/sk3sn9oyhl (19 apr)
• aaronquinlan: If you are interested in learning ~all there is to know about IPython Notebook, wtach this video from @fperez_org . http://t.co/P8VgatX9Ou (19 Apr)
• drgitlin: Co-authored by our @genome_gov @GeneticsSociety fellow! RT @carlzimmer: A call for “public genetic literacy.” [pdf] http://t.co/84Qr4rN1I4 (19 Apr)
• genetics_blog: #PyCon2014 talks (138 videos) http://t.co/4sO14cwBsC (18 Apr)
• CjBayesian: Estimating π using Monte Carlo. The #rstats way: http://t.co/auq9gRyJBo or the Awesome way: http://t.co/1LyiyRX53n (18 Apr)
• currankelleher: A new library for building reactive data visualizations with #d3js - Model.js https://t.co/TE5YCxSa5L (18 Apr)
• milessabin: Haskell for Scala programmers from @runarorama and other good stuff: http://t.co/aifP8JNprT (18 Apr)
• ClojureFact: Liberated #Clojure docs (and better too). http://t.co/CFdjKCx0FI (18 Apr)
• arfon: Is there a machine-readable version of the PLOS subject taxonomy (http://t.co/dgT4vvisiw)? There is now: https://t.co/7lWSBgqIB9 (18 Apr)
• StatFact: Twenty rules for good graphics http://t.co/tUOSliry4m (18 Apr)
• kdnuggets: A Gentle Introduction to Scikit-Learn: A Great #Python Library for #MachineLearning http://t.co/KTJMnD1ocV (18 Apr)
• wesmckinn: Learn you a hash table: https://t.co/hq6ziOYv2b (18 Apr)
• rOpenSci: [Blog] Make your ggplots shareable, collaborative, and with #D3 http://t.co/4VATAXwzcC #rstats #ggplot2 / cc: @plotlygraphs (18 Apr)
• YhatHQ: Why R is Hard to Learn | http://t.co/jntBaaVQ9G (18 Apr)
• bryvdv: Bokeh 0.4.4 is out! Go forth and viz! http://t.co/pxkNUBqQQj @BokehPlots @ContinuumIO #python #dataviz #pydata http://t.co/ngPEVZG8dT (18 Apr)
• michaelwaskom: @arnicas @jsundram indeed! http://t.co/I2nCjD8FxE (18 Apr)
• vandy_biostat: GitHub and Git cheat sheet https://t.co/5BYeWMAQzy (18 Apr)
• statsforbios: “It’s amazing what you can achieve by using Google, asking others and teaching yourself to solve particular problems” http://t.co/SL7Eun3xUb (18 Apr)
• kaythaney: Interesting. New book on implementing reproducible research not #OpenAccess? http://t.co/1QJMayGBJo (cc @simplystats @victoriastodden) (18 Apr)
• YhatHQ: Welcome — Statistics Done Wrong - http://t.co/cliSJowNJD (18 Apr)
• YhatHQ: simple-r - A simple-r Linux command line R environment for statistical analysis | http://t.co/2OGDvFCzqQ (18 Apr)
• siah: An excellent answer by my best friend @gappy3000 to What is the difference between statistics and machine learning? http://t.co/SqHBKaIAsT (18 Apr)
• vsbuffalo: rmarkdown (https://t.co/ZscT2DLYUn) is a terrific package. Combines knitr + pandoc, and has pretty defaults. (17 Apr)
• Rbloggers: Using R — Working with Geospatial Data (and ggplot2): (This article was first published on Workin… http://t.co/9RVJwUWwVi #rstats (17 Apr)
• jeffscottward: http://t.co/vY7wrWqNqg oooo very cool (16 Apr)
• aficionado: Automatic Weighting of Imbalanced Datasets: http://t.co/dmkeANJgEL via @bigmlcom (16 Apr)
• robjhyndman: Errors on percentage errors http://t.co/irjrN2Q1DI (16 Apr)
• kaz_yos: my first quick sort in #emacs #lisp http://t.co/20w0K9P0uU (16 Apr)
• gd047: Updates at Statace : Early access to make your own R in the browser GUI #rstats http://t.co/O01GGMkqm9 via @RforBusiness (16 Apr)
• ArthurFlam: Improve your #bash skills in 15 minutes http://t.co/ncs6u1QGjr (16 Apr)
• mbgrw: “A collection of not so obvious Python stuff you should know!” http://t.co/SxDzUbgyAh (16 Apr)
• zentree: The thing I can least afford is to get things working so perfectly that I don’t notice what’s changing […] anymore. http://t.co/aDfS2EnvBE (16 Apr)
• meganonthecoast: numpy for R users: http://t.co/GihrzrdFZE @gdequeiroz #wiseswc @swcarpentry (15 Apr)
• onethingwell: Deckset - Deckset is a new, simple way to create presentations. Open your favourite text editor, write down… http://t.co/UpNT7y9Z3w (15 Apr)
• piccolbo: http://t.co/fC9f12nfil - Clustering algorithm based on… http://t.co/3RUMELeHDE (14 Apr)
• RevolutionR: Free e-book on #BigData and #DataScience http://t.co/3lXgj0wdOV (14 Apr)
• bowlescompling: “Course Launch: Unsupervised Machine Learning” http://t.co/mmMZhfKlnn shared via @Prismatic (14 Apr)
• mark_l_watson: I am (still) trying to learn Haskell, this time using #FPComplete http://t.co/1x4fZDYE19 (14 Apr)
• revodavid: Packages to interface R with Web and Cloud services, social media and #OpenData http://t.co/dStxUQcMjT #rstats (14 Apr)
• maebert: The best #math book I ever read (and it’s free): Stree-tfighting Mathematics. Read it. It makes you a better human. http://t.co/r8DUTn4Wuu (14 Apr)
• mja: Looks like INLA is automatically multicore. http://t.co/LQ73qwsDVx http://t.co/hDX2ce8OpG (13 Apr)
• treycausey: Outliers… or extreme values? What they are and what to do about them, new post up @_thespread. http://t.co/Fyo1qENvhv (13 Apr)
• kaz_yos: I didn’t know Intro to Programming in #Emacs #Lisp book was available within emacs by M-x info http://t.co/pCoYDWFBTQ (13 Apr)
• oceankidbilly: Thanks to a much appreciated assist from @jakevdp, Vincent can now be rendered in nbviewer: http://t.co/cXn640UtyH (13 Apr)
• dat_project: dat pre-alpha v4.1.0 is out, now with more progress bars when doing ‘dat clone’ (13 Apr)
• lispmeister: New book: Build Intelligent Systems with JavaScript by Aprk Watson https://t.co/gnJbp2LFSQ> (13 Apr)
• mbostock: ColorBrewer + d3.geom.delaunay + magic = http://t.co/rBJWkIQIYU by @qrohlf http://t.co/0dA5mXjugU (13 Apr)
• gappy3000: Learn C and build your own Lisp http://t.co/Qem2HDYhqy (13 Apr)
• johnmyleswhite: Unless you’ve demonstrated that your model has low VC dimension, please don’t make claims about how well it fits a data set you created. (12 Apr)
• gvanrossum: Brett (@haxor) explaining my Tulip example crawler (http://t.co/qUF1Hn8wmA) (12 Apr)
• igrigorik: nearly 11% of the 3.4 million (4-digit PIN) passwords are 1234: http://t.co/AkBWqetwXI - fascinating… and scary. (12 Apr)
• damian_avila: Custom #IPython css theme by @nsonnad https://t.co/hbIIkevmEw http://t.co/YxcN6cfJk9, not exactly what I want, but very close ;-) (12 Apr)
• smdiehl: Updated the stylesheet, hopefully the llvm tutorial is more readable on smaller screens now. http://t.co/Yza78E1Upb (11 Apr)
• genetics_blog: Guide to #Genomics and #Bioinformatics Training for Clinical and Public Audiences http://t.co/MYOavdN6af http://t.co/iQEp66A7rR (11 Apr)
• revodavid: Summary of new features in the latest R 3.1.0. Looks like full reference counting is coming! http://t.co/h4T41iMYNG #rstats (11 Apr)
• planetpython: Kushal Das: Notes from Python Language summit http://t.co/9jlv6s9LrN (11 Apr)
• JeniT: interesting analysis of CSVs on http://t.co/o06bq8TNV6 from @statshero http://t.co/7bAutnO9nM (10 Apr)
• GemmaJacklyn: This picture explains why screened people always appear to live longer - even if no one is helped. #overdiagnosis http://t.co/GH9DuvUBvV (10 Apr)
• otfrom: For those who want the link here is my org-mode emacs config: https://t.co/LoliJEs9WD (10 Apr)
• jrmontag: Code from @ogrisel’s afternoon #sklearn session » https://t.co/1TPuQN7baM Awesome resource with great examples. #pycon (10 Apr)
• revodavid: R’s choroplethr can now create animated data maps, thanks @AriLamstein! http://t.co/JVlwesuYwZ #rstats (10 Apr)
• densitydesign: Finally is out! Try now the NEW version of Raw http://t.co/wAMIhdQfrd #madewithraw #d3js http://t.co/W1omGHIcxU (10 Apr)
• StatFact: Instead of ‘confidence interval,’ let’s say ‘uncertainty interval’ http://t.co/3EJ2kbJKJY (10 Apr)
• noamross: N. Matloff, #UCDavis stats prof, has a new data science blog that opens w/ his new parallel coordinates #rstats pkg http://t.co/LJDT58oAbZ (10 Apr)
• ronert_obst: Gibbs Sampling in R, Haskell, Jags and Stan http://t.co/bzTcIZ3ifU (10 Apr)
• bffo: .@garybader1 talking in “Data Publishing and Curation” workshop at #isb2014 | talking about factoids | http://t.co/H6SiQVpR4S (10 Apr)
• dropboxatwork: The all-new Dropbox for Business is available to everyone! http://t.co/pkVTKgphdH @ilyaf #DFB http://t.co/ZBPQjLH25E (10 Apr)
• Atabey_Kaygun: Math evolution and dirty tricks http://t.co/5z6fUTogUw (10 Apr)
• hmason: Need a recommendation engine? @mortardata’s is now open (and well documented!) http://t.co/w4ABpjJK1l (10 Apr)
• UnixToolTip: Generate your .bashrc PS1 prompt easily with a drag and drop interface http://t.co/1jVtEHuXQZ (10 Apr)
• ds_ldn: Probabilistic Data Structures and Approximate Solutions, Pydata London http://t.co/RHcdwute0t cc @andrew_clegg (10 Apr)
• JustGlowing: Principal Component Analysis step by step with IPython notebook http://t.co/FRgZnEfgEy (9 Apr)
• withyouDrWu: Just out!Our reader’s guide for clinicians on reading an article on patient reported outcomes #pros @JohnsHopkinsSPH http://t.co/4MIgM3oqZh (9 Apr)
• HarlanH: ŷhat | Python Multi-armed Bandits, Recommender Systems (and Beer!) http://t.co/C8HqKmrS4C (9 Apr)
• Stata: #ICPSR Summer Program is offering intensive one-week workshops that will be of interest to the #Stata user community. http://t.co/BpnIxCmZOn (9 Apr)
• vsbuffalo: Hell yes! This is beautiful: d3.js library for genomic data. https://t.co/kQzoxYvGM5 (9 Apr)
• jedisct1: MongoDB 2.6 released, their biggest release ever http://t.co/QIqxUaRA4o (9 Apr)
• kwbroman: I want my students to be like this: Hacker characteristics, from @jtleek Data Science MOOC https://t.co/E1rJkiHpsA http://t.co/WUVYRK689W (9 Apr)
• StatModeling: New post: Understanding Simpson’s paradox using a graph http://t.co/n6FDnrTifa (9 Apr)
• mbostock: This circle packing demo now uses smoooooth zoooooming. http://t.co/u3QJ0fzYUL #d3js http://t.co/WNennPLz8q (8 Apr)
• yokofakun: Analyzing the #Biostars: Fourth Anniversary http://t.co/20F7e5uJAv (8 Apr)
• jakevdp: Less than 48 hours until my @scikit_learn tutorial at #PyCon2014! You can see the still-evolving content here: https://t.co/EmhBKetpfA (7 Apr)
• climagic: One of the best terminal fonts available: http://t.co/uaZSDxMmme (Check your system repo first) (7 Apr)
• johnb30: Resources for writing documentation. http://t.co/fuYyy7WOeX (7 Apr)
• ClojureFact: again, an area where #clojure can learn from common #lisp, fasl stands for “fast loading”: http://t.co/Ht0AsFkNbt (7 Apr)
• ColditzJB: @siah @chlalanne More cool tools - check out this part of speech tokenizer for Twitter content: http://t.co/Q9VjvTavDi (7 Apr)
• ronert_obst: PySSM: A Python Module for Bayesian Inference of Linear Gaussian State Space Models http://t.co/SLT8B5q6SP (7 Apr)
• statisticsblog: #rstats as a Publishing Engine - CPI Components Use Case. http://t.co/g332qmIbKv (7 Apr)
• jatescher: Started writing a series on creating a metrics dashboard with Ember.js and Rails. Part one: Basic scaffolding. http://t.co/wQgAb07QBQ (7 Apr)
• benjaminlmoore: R: the good parts http://t.co/RLXi3wBuHX #rstats via @hnycombinator (https://t.co/k9hE5Gp8F9) (7 Apr)
• paulblaser: “More On Zip Code and Predictive Models - Variable of High Cardinality” http://t.co/2hDnwF05MS (7 Apr)
• paulblaser: “Book Review: Data Just Right” http://t.co/tDOaHjPiBD (7 Apr)
• rdpeng: Writing good software can have more impact than publishing in high impact journals for genomic statisticians http://t.co/oaldQxHz5E (7 Apr)
• dogriffiths: Stunningly visual math examples from stackexchange http://t.co/XFtwCu1BQ5 (7 Apr)
• ethanwhite: Developing #rstats lessons for @swcarpentry http://t.co/miI2IiCuqG (7 Apr)
• revodavid: “During 2013 alone, R added more functions/procs than SAS has in its entire history” - @BobMuenchen http://t.co/1RuQdH0GUi #rstats (7 Apr)
• planetclojure: Java 8 and Clojure http://t.co/H90Yn1dODq (5 Apr)
• ogrisel: Solution to kaggle galaxy zoo challenge by winner Sander Dieleman http://t.co/epqUWn5byb #deeplearning #python #theano #convnet #maxout (5 Apr)
• seanjtaylor: A little history of information visualization: http://t.co/EQIolyAeUt (5 Apr)
• raffdoc: Open source #python projects for #data #analysis http://t.co/kGwm6wDbKT (5 Apr)
• statsforbios: Some interesting free courses. Spatial epidem. http://t.co/ZFV9xMPhQ1 and multilevel modelling http://t.co/taNGJpDavb via @DiseaseMapper (5 Apr)
• bbatsov: Display the name of the current definition (class/method/function) in #Emacs with which-function-mode http://t.co/c9ENT3RPff #EmacsRedux (5 Apr)
• emilopezcano: Using statistical methods in R: a how-to guide. http://t.co/ytBUPCcS7O #rstats (5 Apr)
• davidjayharris: This StackOverflow comment broke my brain. I can’t stop laughing. It’s not even that funny, but I can’t help it. http://t.co/tMDXTGZR6W (5 Apr)
• dailydot: If you have iOS 7 and Gmail, you might want to know about this update: http://t.co/nVfnd7olRO (5 Apr)
• Statistics_Man: Please Retweet! BMJ Statistics Endgame (Toll Free Link). Treatment allocation in trials: Block randomisation. http://t.co/uZjRCK7KFj (4 Apr)
• HakkaLabs: Missed @HarlanH’s talk about modern spatial analysis tools? Watch it here: http://t.co/nohmlffKRc @nyhackr #R #opensource (4 Apr)
• jasondavies: World Airports Voronoi: https://t.co/0vQxOvnGrn http://t.co/5urJV0sSTp (4 Apr)
• beaucronin: Understanding the Now: The Role of Data in Adaptive Organizations, from @ChrisDiehl http://t.co/daS70tqKmG (4 Apr)
• tdhopper: @jrmontag Have you looked at @mbostock’s gistup yet? https://t.co/7nZMr3C1Xy (4 Apr)
• millie: Daniel Kahneman on what he thinks about @NateSilver538, @ezraklein and the rise of explanatory journalism http://t.co/BPCWIfNRyC (4 Apr)
• HNTweets: Xtend – Modernized Java: https://t.co/WJ428eG5jq Comments: https://t.co/auNngivq6f (4 Apr)
• newsycombinator: Europe votes for clinical trial transparency http://t.co/Evijx7ie5u (4 Apr)
• GregJWild: http://t.co/EL7fz9MlGQ Really cool project. (4 Apr)
• blattnerma: Learning Latent Block Structure in Weighted Networks #complexnetworks #clustering http://t.co/88oPSryaYh (4 Apr)
• Anhaeuser: Neat animation on improving the design of a data table: http://t.co/5MJJdwphMs (via @natekontny) (4 Apr)
• stephensenn: #Statistics #Causality Regression to the mean in one slide. An important source of bias. http://t.co/XLAQOvZz6T (4 Apr)
• stephensenn: Interesting blogpost http://t.co/xYV64rb8gV by @dianthusmed on regression to the mean in education. I’ll tweet my 1 slide illustration next (4 Apr)
• furukama: Still pre-alpha, but I love the idea of a github for data http://t.co/ahTfasKtMm #dat (4 Apr)
• eytan: Happy to release #PlanOut, http://t.co/X2tr17zlvr a framework for running complex behavioral science experiments w/ @deaneckles @msbernst (3 Apr)
• compoundchem: Updated version of the Rough Guide to Spotting Bad Science, with a few suggested edits: http://t.co/RrhKCZ9aqs http://t.co/QrbsiTgehC (3 Apr)
• DataCamp_com: One Page R: A Survival Guide to Data Science with R http://t.co/K9GwjesWCb (3 Apr)
• moorejh: schematic representation of the 3D epistatic map - PLoS Genetics (2011) http://t.co/8KyoMk41b9 #epistasis #genomics http://t.co/xQgbVxktvM (3 Apr)
• moorejh: A delayed wallop of pollen http://t.co/wZKBI2hZ8W #allergies #weather #washingtondc #botany http://t.co/wWluaBkYeT (3 Apr)
• moorejh: Map Of The Developing Human #Brain Shows Where Problems Begin http://t.co/bfcOUO5M0G #autism #genomics http://t.co/r4yYHn7SYK (3 Apr)
• npm_tweets: stanford-simple-nlp 0.2.2 https://t.co/4pWOm2IsUq A simple node.js wrapper for Stanford CoreNLP. (3 Apr)
• WiringTheBrain: An overview of current theories of schizophrenia pathology (from http://t.co/MgdJf24nuU) http://t.co/fj2G2MMo9p (3 Apr)
• tavisrudd: unpublished Leslie Lamport paper “Computation and State Machines” w rant about coders and Math http://t.co/9kZ0ft81jl http://t.co/QYFglwlcag (2 Apr)
• cemerick: People have asked for more of a demo of cljx’s REPL support; screencast next week. tl;dr: it works, try it: https://t.co/c8qmK2RqY5 (2 Apr)
• cemerick: And, the slides that went along with the Clojure/ClojureScript “portability” talk https://t.co/EXfM32b3dc #clojurewest (2 Apr)
• YhatHQ: Building email reports with R | http://t.co/R7F24A3gCx @yhathq (2 Apr)
• IPythonDev: IPython 2.0 is officially out. I promise this is not an April Fool’s thing. https://t.co/qt5ldhfwq6 (2 Apr)
• kwbroman: Working on the webpage for my R/qtlcharts package. #rstats #d3js <http://t.co/RI3JKlgK9u http://t.co/nF3diHu7Mq (2 Apr)
• mdreid: Very nice overview by @yisongyue of some interesting developments in learning theory over the last 5 years: http://t.co/DokV0Vs6eY (2 Apr)
• jedisct1: RT @yearofmoo: For anyone who pairs using Google Hangouts, this is for you: https://t.co/Xl1MHqFzzt (2 Apr)
• pwang: Tired of the Python 2 vs. Python 3 debate? Use Python 1 instead! http://t.co/HaxjgO6wqw (1 Apr)
• moorejh: #Machinelearning techniques accurately classify microbial communities http://t.co/DGCEzThqYH #bioinformatics #microbiome (1 Apr)
• Prismatic: List beats grid: say hello to the beautiful new Prismatic for web. http://t.co/Y19bLdBzFh (1 Apr)
• HarlanH: Belief-Sustaining Inference | Civil Statistician http://t.co/4OFw1xlwJN < a #statistics breakthrough! (1 Apr)
• jorgetavares: “Functional Programming books overview”: http://t.co/MYL0ie6zbN (1 Apr)
• JBezivin: “Unix and Linux Commands for Developers”: An excellent and easy to read reference text. <http://t.co/TSArd63s23 /v @jongold #RaspberryPi (1 Apr)
• phylogenomics: PeerJ now requires authors to deposit ‘selfies’ in a data repository prior to publication - PeerJ Blog http://t.co/roM4EwjEGM (1 Apr)
• moorejh: Random forests on Hadoop for #GWAS analysis of multivariate neuroimaging phenotypes http://t.co/AbO01flrED #bioinformatics #genomics (1 Apr)
• Swizec: Slides from my #writethedocs talk about writing a technical book http://t.co/7joHkxn7ix (1 Apr)
• karpathy: Stephen Boyd’s Convex Optimization II class has first meeting in an hour. Excited! http://t.co/yGVKSUDtag subgradients, ADMM, … woo! (1 Apr)
• Stata: NEW to the #Stata Bookstore: An Introduction to Stata for #Health #Researchers, Fourth Edition http://t.co/fXIPi0ntFk (1 Apr)
• StatsBlogs: IV Estimates via GMM with Clustering in R http://t.co/s2qFSPIz3Z (1 Apr)
• DiegoKuonen: Trap of trends to statistical significance: likelihood of near sign. P value becoming more sign. with extra data http://t.co/eEpjpkEfQb (1 Apr)
• newsycombinator: Nweb: a tiny, safe web server (static pages only) http://t.co/1v5mblJ6FF (1 apr)