Here is the latest bag of tweets^*, which covers July 2013.

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

• newsycombinator: Bootstrap 3 RC1 http://t.co/zU3HkvUFHa (27 Jul)
• JeromyAnglim: I’m very excited about the new Journal of Open Psychological Data http://t.co/0q40kmnSPX @JelteWicherts (27 Jul)
• JeromyAnglim: Great set of articles on data sharing in psychology by @JelteWicherts http://t.co/rqcOjVs0uP (27 Jul)
• neilfws: Easy pictograms using R http://t.co/7yM6blU9Oq (27 Jul)
• dataJujitsu: We now have a holding page for the @medcodes repository: http://t.co/5fYuJdQMEN Full database out soon. #opendata in #publichealth research (25 Jul)
• webbedfeet: Zipf’s Law with #pydata packages http://t.co/E1Q7cunhTz #datadc (25 Jul)
• JohnDCook: You’re working on a big data set if it’s faster to mail a hard drive containing the data than to download it. (25 Jul)
• UnixToolTip: Awk FAQ http://t.co/fUQYhQse5E (25 Jul)
• drago_carlo: Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts http://t.co/OB1bO4tO2h (25 Jul)
• copheehaus: Hello World! Tweeting new posts from Coffeehouse blog aggregator - Collection of data blog posts - http://t.co/nwUhNMA6Ly (25 Jul)
• RevoAndrie: RT @RevolutionR: Do ppl ask you, “What is #R?” If they do, we made a little video that we think may help. http://t.co/MfxPPK5dOV #rstats (25 Jul)
• StefanKarpinski: The first nbviewer produced with our brand new pure Julia IPython kernel: http://t.co/Cw2Tt4T45Z. #IPython #JuliaLang (25 Jul)
• newsycombinator: More Git and GitHub Secrets http://t.co/dxZWFooVlI (25 Jul)
• gappy3000: There are at least four alternative fast experimental implementations of #rstats. http://t.co/Emt8feqJp8 (25 Jul)
• ewancarr: Useful for presentations: a list of sites for finding freely available images online http://t.co/n7mSDoaIPA (via @LSEImpactBlog) #phdchat (24 Jul)
• carlislerainey: In case you missed it, I posted an alpha version of compactr, a package that I use to make graphics in R. http://t.co/13NLa4yo9R #rstats (24 Jul)
• genetics_blog: Practical #Typography http://t.co/UP4NKp6wxl (24 Jul)
• moorejh: #infovis #dataviz RT @franknorman @scholarlykitchn: Dynamic #Visualization of Biomedical Journals 2003-2012 http://t.co/HP4fQZ1qmW (24 Jul)
• AndrewRAConway: Nice latent variable models ~ What is working memory capacity, and how can we measure it? | ReadCube Articles http://t.co/ZMZBTC5YoK (24 Jul)
• RDataMining: Lecture slides of a MapReduce course, which is a part of 2008 Independent Activities Period at MIT https://t.co/R9cReU2S9N (24 Jul)
• jedisct1: RT @bketelsen: Have you guys seen tmate? Brilliant screen sharing. http://t.co/ls7GHLDHwa (24 Jul)
• fperez_org: First light for a native Julia kernel implementing the #IPython protocol today. S Johnson, J Bezanson, S Karpinski http://t.co/o9UsBEOCUP (24 Jul)
• drago_carlo: Gaussian kernels http://t.co/lAgUrn16OY via @prismatic #MachineLearning http://t.co/gcXrV7hfm6 (24 Jul)
• zmalltalker: Famous Emacs Users (that are not famous for using Emacs) | 肉山博客 (Wenshan’s Blog) - http://t.co/kAF3oXNeTx (24 Jul)
• randyzwitch: A Beginner’s Look at Julia http://t.co/lNioT8dNdN #julialang (24 Jul)
• cemerick: Commodore 64, 128, and GEOS fonts! http://t.co/rtHWeSbG53 (24 Jul)
• RDataMining: Data-Intensive Text Processing with MapReduce, a book of 175 pages. Its online PDF version is provided at http://t.co/3JmGaIL8Yu. (24 Jul)
• moorejh: #genetics #genome #health MT @DaleYuzuki @genomemedicine: What has #genomics ever done for medicine? http://t.co/0oukBSXPSl (24 Jul)
• JustGlowing: Combining Scikit-Learn and NTLK to use SVM classification http://t.co/9HrRW0kgWK (24 Jul)
• vsbuffalo: Ran across “In All Likelihood”, instantly bought it. Like Casella & Berger of 21st C. I have a book buying problem. http://t.co/R64MlRy5Aa (24 Jul)
• JeromyAnglim: Interesting question: When is it defendable to use manifest instead of latent variables in psychological research? http://t.co/yB5OC1pPmr (23 Jul)
• epistatistic: An interesting example of a time-stratified case-crossover analysis. I highly recommend it! http://t.co/7PCOdYSxpf (23 Jul)
• SmartTypes: Think Bayes (free e-book): Great mix of Python & Bayesian statistics http://t.co/c9UAef4kRU via @suneman : @SmartTypes (22 Jul)
• viatropos: pretty cool idea, a repository of ideas - https://t.co/HI2EXh7JX9 (22 Jul)
• thomaslevine: http://t.co/js2zmf5IKX is sort of the best website ever. (22 Jul)
• writelatex: F1000Research Journal Article Template (to go with today’s announcement of free submissions) https://t.co/8QSTTPYtoL (22 Jul)
• joscani: Analyzing Your Data on the AWS Cloud (with R) http://t.co/MOcrqFhPxJ vía @rbloggers (22 Jul)
• worldbankdata: Accessing the @worldbank #opendata APIs in Python, R, Ruby and Stata: http://t.co/JGDl5jMjyK (22 Jul)
• csarven: Stats Analysis http://t.co/s7O6swonL4 #LinkedData #Statistics #Analysis #UI (22 Jul)
• DrDanielSwan: Paper: Estimation of allele frequency and association mapping using next-generation sequencing data http://t.co/xGKrSsykW4 (22 Jul)
• moorejh: Great collection of #visualization vignettes from Lawrence Berkeley Natl Lab http://t.co/B1l2b6GxWn #infoviz #infovis #dataviz (22 Jul)
• moorejh: Inference for additive interaction under exposure misclassification http://t.co/X3bWhATYyk #epistasis #complexity #datascience (22 Jul)
• LaTeXTemplates: New #LaTeX template for a FAQ document: http://t.co/HinSbCPJhJ Try it out now on @sharelatex and @writelatex! (22 Jul)
• stefanvdwalt: Sparse kernels FTW – our diffusion paper from ISBI2013 http://t.co/ZtbjcvmvpG Accompanying notebook here: http://t.co/xpsdxOsBhX (21 Jul)
• jtoy: Random forests in python http://t.co/TVRZe3JCiz (21 Jul)
• newsycombinator: Bash Configurations Demystified http://t.co/kyLkdCAZ3o (21 Jul)
• rockymadden: Clojure to native code via Scheme: http://t.co/5k0OH1AVb4 (21 Jul)
• jasonbaldridge: Also: Juola is one of the foremost researchers working on computational stylistics. Here’s his book. http://t.co/mcWm7p9iTp (21 Jul)
• _DavidMcCormack: @NewPsychologist excellent site explaining human behaviour and how the brain works from McGill University, http://t.co/amIDUsubkr (21 Jul)
• LewisSpurgin: My Dad asked me how much Evolution paid me for my paper. Had to explain that I paid them, and how much they charge to download a pdf :( (21 Jul)
• bffo: Brad Chapman uses Gemini for integrating data in sql https://t.co/OSd8yO7e0t #ISMBECCB #BOSC2013 #translational #bioinformatics (20 Jul)
• recology_: Datawrapper - An open source tool to create embeddable #d3 #highcharts charts in minutes http://t.co/cjMTGX929X via @mfenner (20 Jul)
• SciPyTip: New advances in conda http://t.co/IoTZ6A5H83 (20 Jul)
• treycausey: All of the slides and videos from Hadoop Summit are up. http://t.co/weAAwp0LrK (20 Jul)
• ErgoEmacs: Emacs Form Feed (^L) Display Suggestion and Tips http://t.co/2ANrowlP7v (20 Jul)
• newsycombinator: Netbeans 7.4 beta with awesome set of features http://t.co/5oPtHzBmYc (20 Jul)
• mfenner: New blog post: Creating charts with Datawrapper http://t.co/HIDOERrd7W (20 Jul)
• Bill_Gardner: NYTimes: Let’s Shake Up the Social Sciences http://t.co/i4axC4BtHc (20 Jul)
• planetpython: Mike Driscoll: Reportlab – All About Fonts http://t.co/gtwW07jnmY (20 Jul)
• pushthings4ward: [PDF] Data Harvesting and Cleaning | #ddj #scraping #research http://t.co/OqjcEDxzrO (20 Jul)
• mgrafit: Learning #d3js by the book - http://t.co/ynU2VbYXlv (20 Jul)
• paulblaser: On learning bioinformatics - http://t.co/YWcGweVt9e (19 Jul)
• kragen: http://t.co/NmyOm9y4lY A small Lisp program from 1960, and how to get it to run in Common Lisp. Thanks to Rainer Joswig for finding this! (19 Jul)
• ibdknox: . @swannodette that is wonderfully magical. http://t.co/S4vT1WezsI #ClojureScript (19 Jul)
• thoughtbot: Tmux copy & paste on OS X just became a whole lot easier: http://t.co/6O0JKLXd9R (19 Jul)
• OlivierVerdier: tips for modern #LaTeX typesetting http://t.co/J1Y5YC9Wku // cc @TeXtip (19 Jul)
• rickasaurus: Javascript isn’t Scheme http://t.co/Z9XLid68kn I love this post (19 Jul)
• webbedfeet: RT @ContinuumIO: Check out our new blog: http://t.co/z7DVcxtF76 #PyData #Wakari #datadc (19 Jul)
• webbedfeet: “R spells for data wizards” http://t.co/XiDr4O4MUG #datadc #rstats (19 Jul)
• treycausey: Visualizing classifier results with #ggplot2 http://t.co/0Aan0rod4W (19 Jul)
• CompSciFact: Books for CS grad students http://t.co/3g2mSEfWPM (19 Jul)
• jjgibaja: R documentation search - All R packages and R manuals from CRAN and Bioconductor http://t.co/6OFv55mSJt (via @vginer_upv) (19 Jul)
• jjgibaja: The summer of R http://t.co/Gr4rTwEuvZ (via @kdnuggets) #rstats (19 Jul)
• abmathewks: Plotting Likert-Scales (net stacked distributions) with ggplot #rstats http://t.co/uPJYCT8GYy via @strengejacke #Awesome (19 Jul)
• moorejh: New book on #MachineLearning with #Python http://t.co/IGuPNeZvky #bioinformatics #datamining #datascience HT @marlecce (19 Jul)
• MongoDB: How to speed up MongoDB Map Reduce http://t.co/RjoKjMWdtF (19 Jul)
• neilfws: “GitHub…a social network where programmers get together and get work done without bosses, e-mails or meetings”: http://t.co/2LZPaDaFdL (19 Jul)
• ramnath_vaidya: Here is the link to the timeline http://t.co/7Og2oZQv3Z #rstats #Cricket (19 Jul)
• xieyihui: @cpsievert @rstudioapp yes, and the source is here http://t.co/AbXKKyJMvs (19 Jul)
• hmCuesta: Generating random numbers and plots in Python http://t.co/I4GbG0z6jH (18 Jul)
• timelyportfolio: #rstats #rCharts dev branch now has #jquery datatables http://t.co/8EK7dYpVvV http://t.co/6Pv4T8XUj6 .@ramanth_vaidya (18 Jul)
• siah: How R will turn into SQL http://t.co/fp5B16DAlc (18 Jul)
• cyberlabe: Data visualisation app http://t.co/vJuL8Ccydl expected to launch this month http://t.co/mCkVQg4B97 (18 Jul)
• iragreenberg: I’ll be periodically adding to this collection of workshop examples: http://t.co/dAPpGb8xHb (18 Jul)
• moorejh: #datamining MT @sciencebase #bioinformatics method for predicting whether a chemical will be toxic http://t.co/1lzd6A2JJ4 (18 Jul)
• CjBayesian: Game theory “Hunger Games” tournament with low barrier to entry. Hack on. https://t.co/BpQ4A4GRBF #python (18 Jul)
• statslabdublin: programming with big data in R : high-level distributed data parallelism in R http://t.co/GDmOaorCct (18 Jul)
• statslabdublin: Large-Scale Predictive Modeling with R and Apache Hive: from Modeling to Production (from UseR!2013) http://t.co/yZc6vflbCJ (cc @Conker_io ) (18 Jul)
• ConcejeroPedro: #useR2013 You must Read this about R naming conventions http://t.co/wI1hT7kwDT part of this http://t.co/24kjXl89Mw (18 Jul)
• xieyihui: thanks to the smart audience @Bioconductor 2013, I finally figured out the right way to process lang engines in knitr http://t.co/J2SwKABVPY (18 Jul)
• drago_carlo: Python for Data Analysis: The Landscape of Tutorials http://t.co/apyBeOmPV8 via @prismatic #Statistics #DataAnalysis #Python (18 Jul)
• technomancy: Blogged about comparative lispology: http://t.co/FzPW8S8Sty The same simple game across Scheme, Racket, Clojure, and Emacs Lisp. (18 Jul)
• planetclojure: An introduction to deep code-walking macros with Clojure http://t.co/qV4vJwx7Sk (17 Jul)
• Atabey_Kaygun: New post: A Gradient Descent Implementation in Lisp http://t.co/LTN1BrALRa (17 Jul)
• joscani: likert package. cool! http://t.co/gFocTQlNjT (17 Jul)
• zentree: ‘Statistical education in the 21st century: a review of challenges, teaching innovations and strategies for reform’ http://t.co/RB3rxwyJAb (17 Jul)
• JeromyAnglim: New Post: Evaluating the Potential Incorporation of #rstats into Research Methods Education in Psychology http://t.co/VQmBA7QiUz (17 Jul)
• MarcusMunafo: Yet more evidence that the average power of studies in many fields of biomedical research is low (~20% again): http://t.co/eoUFa7ByS3 (17 Jul)
• medriscoll: The vanguard of data visualization lies in scientific figures: a powerful, complex view of cancer via @NatureMagazine http://t.co/U6OPHO87Z8 (17 Jul)
• GaelVaroquaux: Replicability is not Reproducibility: Nor is it Good Science http://t.co/hWCj8tFAFw (17 Jul)
• zentree: Dahtah: Simon Barthelmé’s blog on #stats, #data, etc. http://t.co/5lNYvaQNY8 HT: @berndweiss (17 Jul)
• wesmckinn: @gvanrossum sorry, you have to click around the individual benchmarks. e.g. http://t.co/dvoD2u2a9H (17 Jul)
• zentree: ‘The State of namingConventions in #Rstats’. Hear, hear. http://t.co/jMcvltbrVq (17 Jul)
• nathanmarz: Excellent post from @cemerick. Having control over 100% of your time is indeed awesome http://t.co/h8l5dJ5dZK (17 Jul)
• _inundata: R docs are now available in Dash! http://t.co/rBBcnCzQam Thanks @kapeli #rstats (17 Jul)
• heroku: How Heroku Works by @JonMountjoy http://t.co/k61weZryR0 (16 Jul)
• ibdknox: A preview of #LightTable 0.5 https://t.co/RpADcL47oq (16 Jul)
• climagic: zbarcam –prescale=640x480 |while read c;do [ “${c%%:*}” = “EAN-13” ] && xdg-open http://en.openfoodfacts.org/product/"$c";done # Barcodes (16 Jul)
• FGRibreau: Seafile - A file syncing and collaboration platform for teams #dropboxlike // Self-hosted version available http://t.co/fqi6gh4M8T (16 Jul)
• ogrisel: All scikit-learn tests pass under Python 3.3 in master. Thanks @justinvf and @larsmans_nl! (16 Jul)
• swcarpentry: Where should we submit http://t.co/t8cxtJLYpV for publication? (Must be a real open access journal.) (16 Jul)
• msgbi: RT @newsycombinator: Cello: Higher level programming in C http://t.co/xvxgj5h5af (16 Jul)
• berndweiss: “The Big Picture: A Workflow for Reproducible Research” (by @ChrisGandrud ) http://t.co/hbpCfTURoN (16 Jul)
• juampatronics: Benchmarking different implementations of random forest http://t.co/EQpyW7sZdO #machinelearning #randomforest #Python #wiserf (16 Jul)
• MBstream: Auto-WEKA http://t.co/ZHT8umu55N via @prismatic (16 Jul)
• zentree: ‘A Multi-Paradigm Modeling Definition and Language’ by @b__k (PDF). http://t.co/BAMzdBNo7e (16 Jul)
• HlthAnalysis: Recommended Readings for Data Visualizations http://t.co/T88obfkiAs (16 Jul)
• hmCuesta: Explore Python, machine learning, and the NLTK library http://t.co/mLVvDCuJTP (16 Jul)
• planetclojure: Purely Functional Data Structures in Clojure: Red-Black Trees http://t.co/IrR9ycoc48 (15 Jul)
• a_matsuda: “a Ruby program that generates Scala program that generates Scheme program that generates …(through 50 languages)” https://t.co/GJRHjNEdJy (15 Jul)
• mikaelhuss: R spells for data wizards http://t.co/R7og07hktL (15 Jul)
• siah: Unix: Chopping up CSV files http://t.co/wAVKY9QlBz (15 Jul)
• M_T_Patterson: Definitely check out @CjBayesian ’s intro to data science competitions (via @Rbloggers ) #RStats, #DataScience (15 Jul)
• BiologistJohn: User Guide for Python for Population Genomics http://t.co/8tvl7XH5o2 #python #genomics #biology (15 Jul)
• John4man: Useful unix commands for data science. http://t.co/IwQHyKFkk1 I love doing as much as I can in Bash. xargs is the shiz. (15 Jul)
• ArtProgramming: “Lisp is the result of taking syntax away, Perl is the result of taking syntax all the way” – Doug Hoyte (15 Jul)
• fonnesbeck: The deal is done: I now have 14 months to write “Bayesian Statistical Computing using Python”. (In my copious amounts of spare time) (15 Jul)
• inductivestep: Possibly interesting collection of questionnaires, including the ECR-R http://t.co/gaRfCGhRfe (15 Jul)
• fperez_org: xkcd() now officially supported matplotlib API; @jakevdp showcases it in full glory: http://t.co/lEPKomRjGP. #NeverADullPlotAgain (15 Jul)
• wesmckinn: New JSON support in pandas 0.12 is going to be a game-changer: http://t.co/Wwg0WxOFze #pydata (15 Jul)
• Atabey_Kaygun: Introduction to Restricted Boltzmann Machines http://t.co/mdiWX7oBgI (14 Jul)
• Atabey_Kaygun: Restricted Boltzmann Machines in R http://t.co/8mLvJQV9GH (14 Jul)
• Rbloggers: R talks to Weka about Data Mining: (This article was first published on fibosworld » R, and kindl… http://t.co/EJXzABV9kl #rstats (14 Jul)
• StatFact: Do clinical trials work? http://t.co/ci2JDDtfVZ (14 Jul)
• ronert_obst: New post: “List Comprehensions in R” http://t.co/td3XKGJ3Kj (14 Jul)
• EpiFunky: Stephen Senn about the ‘indefinitely many predictors’ criticism in randomization http://t.co/o4KdXHyyuW via @StatsBlogs (14 Jul)
• eddelbuettel: Slides from my Rcpp talk to the Sydney R Users Group this week: http://t.co/CZKKxcSNja #rstats #rcpp (13 Jul)
• swannodette: I haven’t been this excited about a blog post in a very long time http://t.co/HMcNnlQHBz #complexity #js #ui #async (13 Jul)
• ctitusbrown: How can we do literate programming for reproducibility, in Python? http://t.co/Bxiy4tZCND guest post on my blog from @yardenkatz (13 Jul)
• drago_carlo: Book: Applied Data Science http://t.co/dNWHoBAS7P @analyticbridge #DataScience #Python #Statistics #MachineLearning #DataMining #Book (13 Jul)
• ChrisBeeley: Open source software for healthcare. Start with free, finish up awesome http://t.co/ZeD6x3e9yV (13 Jul)
• alandipert: Faster Clojure Startup with Class Data Sharing http://t.co/Gp38PUKL6l (13 Jul)
• trished: Reporting Guidelines in the biomedical literature http://t.co/ZeXCBy3dpy #springerlink Useful review, & not paywalled (13 Jul)
• gawbul: Great free book on Linux command line :-) http://t.co/AvBf1CMdbf (13 Jul)
• karpathy: Direct link to Colin Lea’s CVPR 2013 papers page (pretty LDA, tfidf rankings) http://t.co/iIkfGFSWNq Now want this for all CV/ML papers… (13 Jul)
• freakonometrics: [free ebook] “Speaking Serial R with a Parallel Accent” http://t.co/yuoS64Dphi (Programming with Big Data in R) (13 Jul)
• RickWicklin: Great analysis of nerf guns. http://t.co/LvcdzR1JbF #rstats via @scheidegger See this simpler experiment by my kids http://t.co/AXzk5mQ32r (13 Jul)
• genetics_blog: Next generation sequencing of viral RNA genomes http://t.co/L8IzcLjGrr #genomics (13 Jul)
• freakonometrics: nice! “The beauty of scientific papers - Design trends of the past 350 years” http://t.co/HyOv3wJfhI (discovered via @goulu) (13 Jul)
• mbostock: New release notes for everything going back to 3.0. Plus codenames! https://t.co/vF9LRIWR1M #d3js (13 Jul)
• hylopsar: Ben Bolker’s notes on workflows, pipelines, reproducible research, etc. http://t.co/0YE7potw2O via @wordpressdotcom (13 Jul)
• ramnath_vaidya: Integrated Learning Environment: A Prototype http://t.co/I76w7XMoFz #rstats @kaythaney @gvwilson #rstats @hadleywickham @popcornjs (13 Jul)
• johnros2013: An Introduction to Social Media for Scientists http://t.co/nKkY3BloyC (13 Jul)
• bradfordcross: Solid look at what we’re trying to solve http://t.co/mUQYCzBbF7 (13 Jul)
• ConcejeroPedro: #useR2013 gReat qgraph objects can be exported to igraph and make fantastic chord graphs of item-factor relationships http://t.co/Q7m8lXmX0d (12 Jul)
• Bioconductor: #Bioconductor / #rstats new course material from #CSAMA 2013, #useR2013 http://t.co/rIsUWD0w3u (12 Jul)
• tslumley: @b__k @zentree cf Rob. Gentleman “data is large and confidential; code is small and open-source: which one do you send over the internet?” (12 Jul)
• cemerick: @rkneufeld Re: jruby+sass+clojure, this looks promising https://t.co/PkikHR8KN0 (11 Jul)
• berndweiss: RT @zoonpolitikon: Another lost soul. Sigh. “Dear LaTeX: It’s not you, it’s me” http://t.co/0bzBKW9EZp (11 Jul)
• adolfoalvarez: @adolfoalvarez: Rstudio announces at #useR2013 a new preview version. http://t.co/apfQeaAPxC (11 Jul)
• Rbloggers: rxDTree(): a new type of tree algorithm for big data: (This article was first published on Revolu… http://t.co/fvq5H4LZtN #rstats (11 Jul)
• statslabdublin: http://t.co/EYilMw5Dpu : looks quite interesting useful teaching tool #user2013 lightning talks http://t.co/1V2vECDwMs (11 Jul)
• HarlanH: A Julia Meta Tutorial - Data Community DC http://t.co/d9JyXyFMBd #JuliaLang (11 Jul)
• betheross: Just setup my first private @github repository. Excited! Students and postdocs can get a free account https://t.co/YDRuBVIvx2 HT @ethanwhite (11 Jul)
• GuyHorev: Manuscript Checklist http://t.co/K0CxSrr5NM Statistical Problems to Document and to Avoid (11 Jul)
• revodavid: Slides from my #User2013 presentation, “Real-time, Big-Data R? Yes you can!”: http://t.co/784gkYgvS6 #rstats (11 Jul)
• ConcejeroPedro: #useR2013 interactive tableplot of bigdata with tabplotd3 http://t.co/mYMzpX5mQX (11 Jul)
• ConcejeroPedro: @gmiritello #useR2013 tabplot - demo script online http://t.co/9vgO2AsFUr very good! (11 Jul)
• ConcejeroPedro: #useR2013 exploring big data with tabplot - slides http://t.co/0dVCEljd6P (11 Jul)
• jedisct1: RT @franckverrot: hstore vs. JSON - Which to use in Postgres http://t.co/72EdBUTiJC (11 Jul)
• robjhyndman: Asking good questions http://t.co/DqQFtb1XRx (10 Jul)
• Biff_Bruise: MT @PeterSpeyer: New #dataviz w/ data on obesity, phys. activity, life expectancy in US counties. (also time series) http://t.co/11euMCdAis (10 Jul)
• hemant_Pt: Awesome keynote on visualization going on #ICWSM - check out http://t.co/sCRoh673WU (10 Jul)
• ramnath_vaidya: rCharts + Polychart + AngularJS! http://t.co/Bs6KaG0cLW #rstats #angularjs #d3js @Polychart @d3visualization http://t.co/a8sE3eYhSi (10 Jul)
• DrBunsen: New blog post—Matryoshka Hardware: http://t.co/D1B40rCJLS (10 Jul)
• jedisct1: Julia for R programmers: http://t.co/0fS1l7s2Or (10 Jul)
• TWiecki: Plotly: Plotting in the cloud https://t.co/yJ3lpFP3Yv (9 Jul)
• cemerick: nrepl-python-client 0.0.2 released, and now on PyPI thanks to @MaxCountryman https://t.co/aSMje1G8yY https://t.co/MCLJm4FVcO #clojure #nrepl (9 Jul)
• ptwobrussell: Lots of great updates to Mining the Social Web’s GitHub repo including a newly revised Twitter Cookbook http://t.co/kn8u7AtNin (9 Jul)
• mgrafit: RT @JanWillemTulp This is a great overview of web-based color tools http://t.co/1s4XGXN6J4 (9 Jul)
• moorejh: Lessons from functional analysis of #GWAS - #Cancer Research http://t.co/m3sNkPAgCU #genomics #genetics (9 Jul)
• technomancy: I wrote a little game tonight; once in Chicken Scheme, and once in Clojure: https://t.co/CLRaoxWRz8 (9 Jul)
• Tojiro: This is pretty awesome: OpenGL tutorials with inline WebGL demonstrations! http://t.co/HNkYK3nrrz (9 Jul)
• gvanrossum: mypy: http://t.co/mS7TkbM9do – a Python variant that combines duck and static typing. Now with compatible syntax! (9 Jul)
• reichlab: really cool. RT @benjaminlind: R on the Cloud is now at #rstats version 3.0.1, has a graphics window … http://t.co/ME22BIaTFw (9 Jul)
• teddy777: Our next data science “salon” will be focused on modern machine learning methods as well as a bit more formal under…http://t.co/8XE4tF42Wu (9 Jul)
• jsundram: I compared @Nodebox to @ProcessingOrg and @processingjs and found some interesting performance differences: http://t.co/pCYBG9gZkX (9 Jul)
• arnaudsj: Peter Norvig - Learning Programming: http://t.co/dqUdtniXnD (9 Jul)
• walkingrandomly: Gccpy is an ongoing project to allow users to compile #Python Code as an AOT (ahead of time) compiled language. http://t.co/mgj423W7Hk (8 Jul)
• drago_carlo: Interactive Heatmaps (and Dendrograms) http://t.co/Q9OfKuhlTM @prismatic #DataMining #MachineLearning #Statistics #Visualization #Rstats (8 Jul)
• drago_carlo: Gephi + MALLET + EMDA http://t.co/5ozP0D4eAg via @prismatic #DataMining #TextMining #Networks #NaturalLanguageProcessing (8 Jul)
• albertocairo: To save MT @lisawilliams “@inkouper: A Practical Introduction to Data Science Skills: Notes and Links http://t.co/KZP321kaBQ " #wjchat (8 Jul)
• TWiecki: .@treycausey “scikit-learn really needs to start speaking the language of dataframes.” – here’s a start: https://t.co/mjGXgsqj2D (8 Jul)
• jattenberg: Predictive Discrete Latent Factor Models for Large Scale Dyadic Data- http://t.co/LTVBXwUQdu (8 Jul)
• yokofakun: [delicious] The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability #tw… http://t.co/bDupxo7d9Q (8 Jul)
• Atabey_Kaygun: A stack-based fast data languange by @zedshaw http://t.co/FBrbF7b2h8 (7 Jul)
• analyticbridge: Veterinary Epidemiologic Research: Modelling Survival Data – Parametric and Frailty Models: (This article w… http://t.co/Uhe8Bbt02w (7 Jul)
• planetclojure: Exploratory Genomics with Clojure http://t.co/UDLGgFZu5O (7 Jul)
• freakonometrics: nice ! “OLS residuals from a regression” http://t.co/2f03PgzKs3) on @DEAGiles’s blog, see http://t.co/jZwdxpSi5T (7 Jul)
• arnicas: Interesting! MT @DashingD3js: Using #D3, #backbone and #tornado to visualize histograms of a csv file | D Rodriguez http://t.co/WwqI3rRwmv (7 Jul)
• 27point7: On ne rigole pas avec l’anonymisation des stats… http://t.co/4Fcrr0LmaS (6 Jul)
• Rbloggers: A Recipe for Trellis/Faceted Plots Using Base R Graphics: (This article was first published on Bi… http://t.co/Dzb8JzG3v9 #rstats (6 Jul)
• BrianNosek: If you use GMAIL, this is amazing! Immersion: a people-centric view of your email life https://t.co/HS0ocuMS9x (6 Jul)
• UnixToolTip: Emacs Org Mode Version 8: Upgrading and Some Tips http://t.co/f74Dp9FUnE (6 Jul)
• alexk_z: Matrix multiplication in R with gputools http://t.co/1rfgWulgO7 on a 3 year old NVIDIA GT 330M, 20x faster than CPU atlas libs #impressive (6 Jul)
• ClojureWerkz: 15 tutorials on ClojureScript by @magomimmo https://t.co/J3GUQloeNr. Worth a retweet, don’t you think! (6 Jul)
• paulblaser: Logistic Regression in Python http://t.co/sYmjKtN6mZ via @yhathq (6 Jul)
• paulblaser: Seven handy SQL features for data scientists http://t.co/prHTO8kxMD via @yhathq (6 Jul)
• yannabraham: Visualization of Multidimensional Data by Bob Jensen http://t.co/dihsitOkQq (6 Jul)
• statslabdublin: List of Courses at Big Data University http://t.co/nNKqm444au Most (all?) of them free too (6 Jul)
• jcukier: Wow, this one just turned out like an abstract visualization http://t.co/nsQfUYaTsQ (5 Jul)
• rOpenSci: [Blog] From occurrence data to interactive maps on the web http://t.co/paiaU5ww2e #rstats @USGS #geojson (5 Jul)
• kdnuggets: ebook: Instant Weka How-to http://t.co/9hzoZYdgwx (5 Jul)
• Atabey_Kaygun: Springer changes its self-archiving policy http://t.co/OHQItepZcw (5 Jul)
• fonnesbeck: @seanjtaylor here’s one. Check out the Weibull model, line 26 http://t.co/YZ2z87hJyl (4 Jul)
• Atabey_Kaygun: Lisp in Parallel http://t.co/LEwMe2piSm (4 Jul)
• drago_carlo: MIxture Discriminant Analysis http://t.co/rwwW9j4coN @Prismatic @Rbloggers #Statistics #DataMining #MachineLearning #Rstats (3 Jul)
• nikete: An Equivalence between the Lasso and Support Vector Machines http://t.co/31go7AqTTl (3 Jul)
• brikis98: Github now supports “releases”, with changelogs, binary assets, and project history. https://t.co/FYyzAaIn5G (3 Jul)
• hadleywickham: latest edition of the R journal now available at http://t.co/NmgFOYVdcF - 20 articles about #rstats! (3 Jul)
• genetics_blog: New blog post: Customize your .Rprofile and Keep Your Workspace Clean http://t.co/NhtZzkHVFo #Rstats (3 Jul)
• JanWillemTulp: Awesome! RT @gnrtvdsgn: We are on github! https://t.co/1i3vLBsklJ All code examples of the book in p2.0 or p1.5.1 flavor! #processing (2 Jul)
• Atabey_Kaygun: New post: An implementation of the k-nearest neighbor clustering algorithm in #lisp http://t.co/LTN1BrALRa (2 Jul)
• melb4886: Fascinating review: Social environmental effects on gene regulation http://t.co/pZjgdQ4Hqn #springerlink (2 Jul)
• jjgibaja: R On Cloud <http://t.co/DTIQ6yha1t (1 Jul)
• mgrafit: Upcoming release of lme4 v1.0 in #rstats, including predict(). https://t.co/RSZLKEO5mC (1 Jul)
• mgrafit: Closing the gap btw #rstats and #d3js ! d3Network by @ChrisGandrud http://t.co/6rGkCgyRuH + examples http://t.co/QhlJ72hjUL (1 Jul)
• drago_carlo: Visualising True Positives and False Positives against Features with scikit-learn http://t.co/t748NLSqYP @prismatic #MachineLearning #Python (1 Jul)
• msgbi: “@newsycombinator: Algorithms http://t.co/OLFPxdA418” (1 Jul)