Here is the latest bag of tweets^*, which covers January 2012.

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

• drewconway: Data Science: An Action Plan…, by (that) William S. Cleveland [PDF] http://t.co/0x73hVQG (27 Jan)
• drewconway: #rstats RT @metamx: “Munging, Modeling, and Visualizing Data with R” (interactive tutorial led by our engineers) http://t.co/EXiUAJWs (27 Jan)
• genetics_blog: Cool #dataviz of GWAS authorship network using Gephi http://t.co/1sIAvGiS #bioinformatics (27 Jan)
• StackTeX: Great answer: Which TeX programs produce dvi output? http://t.co/D2p68LV5 #dvi (27 Jan)
• Marja_P: Statistics Finland opening its data and databases, for both non-commercial and commercial purposes! http://t.co/HuC3YnUB Excellent #opendata (27 Jan)
• holman: For those of you asking (you font nerds you!), the typeface I used this time around in my talk is Signika: http://t.co/9KTIbXeE (27 Jan)
• pentalibra: The new ggplot2 v0.9 is out. Thanks @hadleywickham! NEWS at http://t.co/8sPwdbq3 Useful transition guide at http://t.co/jinGHgPn #rstats (27 Jan)
• tdhopper: Machine Learning for Hackers http://t.co/kj1S4rLp by @johnmyleswhite and @drewconway is available for preorder on Amazon. (26 Jan)
• mattlemay: Learning data visualizations in d3 via @mikedewar’s most excellent talk “First Steps in Data Visualization Using d3.js” http://t.co/Zhiu4AF6 (26 Jan)
• debasishg: Mining of Massive Datasets (http://t.co/JkNSX05U) just got 3 new chapters http://t.co/fSZ4TaE7 http://t.co/qixKjCKO http://t.co/sdVsk7gl (26 Jan)
• Bill_Gardner: Superb essay on challenges to medical AI. http://t.co/cZtZNgq9 @fredtrotter (26 Jan)
• irr: (How to Write a (Lisp) Interpreter (in Python)) http://t.co/q7YYINrb (26 Jan)
• jseabold: I built an entire, blog-aware, static website today using Hyde. More details soon. In the meantime, Hyde is awesome. http://t.co/sdZHDQoI (26 Jan)
• GreatestQuotes: “Tell me and I forget. Teach me and I remember. Involve me and I learn.” - Benjamin Franklin (26 Jan)
• mathematicsprof: A well written easy to understand article on the mathematics (i.e.inverse Radon transform) of CAT scans and MRIs. http://t.co/XKfaYcZc (26 Jan)
• patrickDurusau: Good Machine Learning Blogs #topicmaps - http://t.co/4lTQYACX (26 Jan)
• FGRibreau: Lisp in 32 lines of Ruby http://t.co/Ya76P9Td // => http://t.co/r8ewMWim (26 Jan)
• deleeuwjan: In the unlikely case that you are keeping up with my “Collected Works” project: there are now 634 entries in the… http://t.co/o8CAfPA8 (25 Jan)
• StatFact: Practical advice for applying machine learning http://t.co/CSR59PCx (24 Jan)
• UnixToolTip: RT @RegexTip: Emacs regular expression tutorial http://t.co/3wMfSfkl (24 Jan)
• climagic: find . -maxdepth 1 -printf “%TY\t%h/%f\n” |grep “^2011” |cut -d$’\t’ -f 2- |xargs -d$’\n’ -I{} mv {} /tmp/2011 # Move files based on year (24 Jan)
• chengweiwei: A critical comment on the recent MIC measure (DOI: 10.1126/science.1205438) by Noah Simon and Robert Tibshirani http://t.co/UcFc8PIx (23 Jan)
• miquelporta: Article by Sander Greenland (UCLA). Disclosure of conflicts of interests http://t.co/Uno2bOt3 (23 Jan)
• visualisingdata: Excellent review/preview from @eagereyes RT @paulbradshaw: The State of Information Visualization, 2012 http://t.co/tHajSrrz #vis (23 Jan)
• patrickDurusau: Stan: A (Bayesian) Directed Graphical Model Compiler #topicmaps #Bayesian #compiler #graphical - http://t.co/fSmL3FH2 (22 Jan)
• zoltanvarju: Three meanings of the term ‘S-expression’ http://t.co/wVG44Hjy (21 Jan)
• boris_gorelik: Model Selection: Beyond the Bayesian/Frequentist Divide http://t.co/LoyYhvOl #datamining (21 Jan)
• lisaczhang: Working on @Polychart is pure awesomeness. If you didn’t see the video yet: http://t.co/UPltDldQ Please like us at http://t.co/z8DFZh7T (21 Jan)
• StatModeling: New post: Lessons learned from a recent R package submission: R has zillions of packages, and people are submitt… http://t.co/i2cCi6TB (21 Jan)
• patrickDurusau: Clojure Tutorial for the Non-Lisp Programmer #topicmaps #Clojure #non-lisp #programmer - http://t.co/nkMxTr8a (21 Jan)
• mbostock: So it appears Chrome uses median-of-3 quicksort, Firefox uses merge sort, and WebKit uses selection sort? http://t.co/6g5hhk3i (21 Jan)
• mjbommar: cool d3 use RT @drewconway: Chart showing surge in Congressional activity on Twitter related to SOPA/PIPA http://t.co/jSb6rhsu (21 Jan)
• zoltanvarju: Subjective Probability: The Real Thing (pdf) http://t.co/ffDvtPGd (21 Jan)
• mbostock: More on shuffle bias: http://t.co/OhrNJ3GZ Compare sort-by-random on Firefox, Safari and Chrome! #d3js (21 Jan)
• gappy3000: MIT SICP course is baaaack! http://t.co/TBinBeTN #lisp (21 Jan)
• Biff_Bruise: RT @PeterFlomStat New blog post: Some thoughts on observational studies http://t.co/lWK9L9bd (21 Jan)
• StackTeX: Can you answer this? How to join paragraphs with a pilcrow \P? http://t.co/c09w17se #symbols (21 Jan)
• DataJunkie: Hadoopy: Python wrapper for Hadoop using Cython http://t.co/lWni7Y5p (21 Jan)
• UnixToolTip: Tips on long term Emacs productivity http://t.co/KcNZxFZC (20 Jan)
• silParacchini: Interesting: genetic variation at FOXP2 and KIAA0319 associate with brain activation in language regions http://t.co/uaw2eaHe (20 Jan)
• patrickDurusau: clusterPy: Library of spatially constrained clustering algorithms #topicmaps #clustering #python - http://t.co/S55NmUTR (20 Jan)
• tdhopper: New Blog Post: TeXing with Textmate Change my Life http://t.co/FgKQA6JK (20 Jan)
• freakonometrics: Visualising Sorting Algorithms http://t.co/8UagIqHE (see also http://t.co/P3UbwjaC> - in French) (20 Jan)
• wesmckinn: pandas 0.7.0 release candidate is out, final release in about a week’s time! It’s huge: http://t.co/6hqnGo3R #python (20 Jan)
• druvus: Accessing the SEED Genome Databases via Web Services API: Tools for Programmers: BMC Bioinformatic… http://t.co/q0UZRyV7 #metagenomics (19 Jan)
• manuelcorpas: Genomic Structural Variation: Methods & Protocols: http://t.co/ct1WmlF0 (19 Jan)
• sauerlo: Free access to re annotated whole human genome data sets at http://t.co/nlPZOf8M from @CompleteGenomic #MAF SV CNV SNPs ME #NGS DNA (19 Jan)
• StatModeling: New post: Beautiful Line Charts: I stumbled across a chart that’s in my opinion the best way to express a compar… http://t.co/rB8g8OfD (19 Jan)
• sauerlo: Interesting case-study for time series data #kno UI http://t.co/ltNSSTZq #UX #Graphs #Apple #Glass #Learning (19 Jan)
• dggoldst: Some code to help you remember numbers http://t.co/4HDIz2Hy #rstats (19 Jan)
• nicolastorzec: Revisit is a real-time visualization of the tweets around a specific topic: http://t.co/2f6PFeqd - Another nice piece by @moritz_stefaner (19 Jan)
• westwilli: Epigenetics: A Turning Point in Our Understanding of Heredity http://t.co/og5Yo7Pr (19 Jan)
• adiazescobar: 40 Fascinating Blogs for the Ultimate Statistics Geek http://t.co/cdNp7XKA (19 Jan)
• voxmjw: O’Reilly “Natural Language Processing with Python” available under Creative Commons license. via @hackernewsbot http://t.co/nB0JY6Js (17 Jan)
• siah: twython: An easy (and up to date) way to access Twitter data with Python. http://t.co/GkM2xhdE (17 Jan)
• trvrb: Using #GitHub and #LaTeX for automated web publishing of scientific manuscripts. http://t.co/z1wntHfz (16 Jan)
• jcukier: wow! the Mac OS X photoshop experience faithfully recreated in browser. and for free!! (chrome only) http://t.co/p53FePqT (16 Jan)
• moximer: “How Language Works: The Cognitive Science of Linguistics” Open Source Textbook by Mike Gasser http://t.co/EArNuuVI (16 Jan)
• mikeloukides: LINUX & Python for scientific computing: http://t.co/jzH25BQr (15 Jan)
• climagic: for y in {1900..2100}; do echo -n “$y: “; cal $y|fold -w22|egrep -e “13 14\ *$"|wc -l ; done # Count of Fri 13ths/year. (14 Jan)
• planetpython: Andrew Dalke: OpenMP vs. POSIX threads http://t.co/rYd4SsCA (13 Jan)
• jaidevd: A summary of the discussion on the #scipy-dev list about #scikit.signal - a #Python toolbox for signal processing - http://t.co/f8rHckU4 (13 Jan)
• BenVitale: @republicofmath This is so pretty (1+3)/(5+7) = (1+3+5)/(7+9+11)= (1+3+5+7)/(9+11+13+15)= … = 1/3 (12 Jan)
• yaaang: Cyclic vs seasonal vs periodic ARMA models, brief notes by @robjhyndman http://t.co/XwjuKjCS (12 Jan)
• datavis: New Twitter visualization by @JeffClark: Spot (http://t.co/wX2tPwZk) (12 Jan)
• jonromero: My latest SlideShare upload : Learning Processingjs http://t.co/oRGybW1K (12 Jan)
• mikedewar: Slides for my d3 tutorial talk, based on the lovely template by @mbostock, are available at https://t.co/mCkd10HU> (12 Jan)
• driven_by_data: Wow! Hard-core scientific data mining handbook, and it’s free: RT @ddjournalism: ‘Mining of Massive Datasets’ http://t.co/u9XKJf1y #ddj (12 Jan)
• ogrisel: Compressed array tutorial: http://t.co/QS8qEpoY #carray #numpy #python #blosc (12 Jan)
• SciPyTip: A look inside pandas design and development http://t.co/hatZRXIN (11 Jan)
• ogrisel: Python machine learning library scikit-learn 0.10 is out! Full changelog: http://t.co/iH0KxxAO - Parallel Random Forests and much more! (11 Jan)
• westwilli: 23andMe Presents Top Ten Most Interesting Genetic Findings of 2011 (11 Jan)
• abhishektiwari: The Two Most Important Algorithms in Predictive Modeling Today http://t.co/hVe6a1sF (11 Jan)
• onertipaday: hidden treasure : a vignette depicting how to write a #rstats package using S4 methods: http://t.co/rrw9RBe7 (10 Jan)
• mxlearn: Package “sentiment” now available on CRAN: naïve Bayes classifier for polarity classification (e.g. positivity/n… http://t.co/FROcdEhZ (10 Jan)
• revodavid: Some great resource on Optimization with #rstats from WU Maths and Stats: http://t.co/eKKXurDi (10 Jan)
• irr: git - the simple guide http://t.co/k2RzUrvy (9 Jan)
• jebyrnes: hehe. RT @StatFact: Five criticisms of significance testing http://t.co/xPdezKkE (9 Jan)
• GBIF: #PLoS: Darwin Core: An Evolving Community-Developed #Biodiversity Data Standard http://t.co/jvDu2nWE #gbif (9 Jan)
• wesmckinn: Fernando Perez: The IPython notebook: a historical retrospective http://t.co/jItHrYeh (9 Jan)
• tdhopper: Complete, stand alone Stanford machine learning course notes http://t.co/3mPTPGnh (9 Jan)
• StackTeX: Can you answer this? Bibliography tooltips with XeLaTeX and automated workflow http://t.co/ZoBRZfpl #bibliographies (9 Jan)
• humangenomeorg: Study applies random genotype sets to new disease http://t.co/rtu3LTmx (9 Jan)
• wesmckinn: Little #python script for making a histogram of the function lengths in your codebase https://t.co/7omtoH9I> (9 Jan)
• sauerlo: http://t.co/bMEvpp9v Time Series Data Library - collection of 800+ time series of various sciences #Multidimensional #DB #R #Stat (9 Jan)
• AndrewJHammond: ‘Knowing is not enough, we must apply; being willing is not enough, we must do.’ Da Vinci. 500 yrs ago but bang up to date. (9 Jan)
• edd: Emacs might be the only program in the world that would see a performance improvement from rewriting in Common Lisp http://t.co/BgqdMyyT (8 Jan)
• StatModeling: New post: Intro to splines—with cool graphs: Ido Rosen pointed me to this page by Mike Kamermans. http://t.co/JlpfH2H7 (8 Jan)
• quicklisp: January Quicklisp updates: http://t.co/PuzsChQt (8 Jan)
• dsjoerg: Data has no value in and of itself. The value of data is unlocked through context and presentatation… http://t.co/rbfjs0Yr (8 Jan)
• DrEades: Correlation is not causation. http://t.co/It6afHca (8 Jan)
• hmCuesta: Can you explain why ++[[]][+[]]+[+[]] = 10 http://t.co/yugVDbBo (8 Jan)
• CompSciFact: A collection of sample code in various languages, using the Perl Cookbook as a template http://t.co/GpsPBA10 (8 Jan)
• neilkod: excellent instructions for building python zookeeper bindings on Mac OSX http://t.co/rMcmfZda (7 Jan)
• StackTeX: Great answer: How can I visualize Matrix operations? http://t.co/RLceRgFW #matrices (7 Jan)
• deevybee: Just caught up with this piece on copyrighting of mini-mental state, tracing history of items http://t.co/8crPsRHV #psychiatry (7 Jan)
• xlvector: Recommend paper “Adaptive Bootstrapping of Recommender Systems Using Decision Trees” http://t.co/xu4Vy0mi (7 Jan)
• reichlab: RT @ayeimanol: RT @RLangTip: Public data sets available online to use with R: http://t.co/RLfXehki #rstats (6 Jan)
• patrickDurusau: http://t.co/FlxEMi7y #topicmaps #algorithms #visulization - http://t.co/01wiZUGn (6 Jan)
• reichlab: RT @mattstat: Can you guess which is the Stradivari and which not? Don’t cheat! The way stats ought to be done. http://t.co/D4z1utbu (6 Jan)
• neilfws: Another great blog post. Cancer Genome and Exome Sequencing in 2011 http://t.co/v1pgKEBA (6 Jan)
• KeithSmeltz: Postscript command summary: http://t.co/meaSkSe9 – there are languages you should know just because learning them changes you. (5 Jan)
• jessykate: issue “dropbox stat” in the terminal inside any folder watched by dropbox… super useful. (5 Jan)
• jedisct1: Never create Ruby strings longer than 23 characters http://t.co/aLtPugmt via @pat_shaughnessy (5 Jan)
• eddelbuettel: Max Kahn posted an awesome list of recommendations for R coding on r-devel: http://t.co/SQbOP0F7 #rstats (5 Jan)
• revodavid: @reichlab According to http://t.co/kbOqKtyg, it’s been down the past 5 days. Might want to try a different mirror. (4 Jan)
• DrVes: The Third Component of Genetic Blueprint - Writing in Pen (DNA) vs. Pencil (Epigenetics) http://t.co/C41sXpfD (4 Jan)
• moritz_stefaner: @pitchinteractiv @janwillemtulp paper: http://t.co/TlYhjIW2 (4 Jan)
• hakmem: Open Data Structures Book http://t.co/tZWwUezt (4 Jan)
• peteskomoroch: Why is Python often a language of choice used in the field of Machine Learning? http://t.co/x7cby14x via @zite (4 Jan)
• zentree: JAGS code available for “Doing Bayesian Data Analysis”. #rstats http://t.co/8m3N8IXp (4 Jan)
• planet_lisp: Ryan Davis: Visualizing call graphs in lisp using swank and graphviz http://t.co/PTAYiggc (4 Jan)
• benbendc: Bravo! impressive special issue: Info Visualization Journal- valuable ideas, fresh perspectives, important challenges http://t.co/Q5bQYeVt (4 Jan)
• PLoSONE: Connecting the Dots between PubMed Abstracts: a storytelling algorithm for exploring connections http://t.co/EBmmlPoS (4 Jan)
• johnmyleswhite: RT @revodavid: Visualizing model coefficients using an #rstats package by @jaredlander: http://t.co/g3IEIF8e (3 Jan)
• kshameer: RT @larry_parnell: “Fourth Paradigm: Data-Intensive Scientific Discovery” http://t.co/SmzQBaHz So much data, but can we infer meaning? [PDF] (3 Jan)
• jcukier: I really like that you make it look so simple @driven_by_data Alpha-shapes aka. concave hulls in d3 http://t.co/LgUZyh5M (3 Jan)
• cortesi: Just pushed a new blog post: Visualizing entropy in binary files - http://t.co/ni5Xc8XZ (3 Jan)
• PFCdgayo: Finished “The Development of Social Network Analysis”, #mustread to have a broader view (+ not reinventing the wheel). http://t.co/cPNdqnvx (2 Jan)
• jcukier: New blog post: tutorial for using #d3 with #mySQL http://t.co/2U2BoCYJ (3 Jan)
• flowingdata: High-resolution maps of science via @drewconway http://t.co/9QOxAgFf (3 Jan)
• statalgo: Optimization Methods course with R, from Kurt Hornik. http://t.co/4g9qFRpA #rstats (3 Jan)
• vniven: a compilation of the Best Computer Science Research papers for the past 10 years or so (AAAI, ACL, CHI, CIKM, et al) http://t.co/pLpVxaP8 (3 Jan)
• rgaidot: Artificial Intelligence: Past and Future http://t.co/0CQVlule (3 Jan)
• drewconway: @flowingdata I think this is a more informative viz of scientific relationships http://t.co/8hrMXj05 from this article http://t.co/Wq1MC5ej (3 Jan)
• flowingdata: Visualizing citations in research literature http://t.co/qChOsD8W (3 Jan)
• newsycombinator: Open-source Dropbox alternative powered by Git http://t.co/4Dizbv1X (2 Jan)
• wesmckinn: “Cython is only useful for people inside numeric community” I find this attitude somewhat disturbing. http://t.co/eptqDTUR (2 Jan)
• irr: A Common Lisp binding for the Apache Thrift framework http://t.co/wERxm21I (2 Jan)
• GreatestQuotes: “Anger is never without reason, but seldom with a good one.” - Benjamin Franklin (2 Jan)
• _onionesque: Purdue Machine Learning summer school videos are on youtube http://t.co/8pweVFeg some talks look good! Not viewed much either. (2 Jan)
• patrickDurusau: The Lisp Curse #topicmaps #Lisp - http://t.co/PVCOSfv4 (2 Jan)
• Rbloggers: Using factor analysis or principal components analysis or measurement-error models for biological measur… http://t.co/hZVDgOyU #rstats (1 Jan)
• OnlineBiotech: Mapping genes for health http://t.co/1xvgn8Sm (1 Jan)
• genetics_blog: VarSifter: Visualizing and analyzing exome-scale sequence variation data on a desktop computer http://t.co/5THSlTGI #bioinformatics @myen (1 Jan)
• TeXtip: Lesser known TeX formats http://t.co/T6APH1hA (1 Jan)
• UnixToolTip: 50 Most Frequently Used UNIX / Linux Commands (With Examples) http://t.co/PNP18Lf2 (1 Jan)
• lucaswiman: Why is Python often a language of choice used in the field of Artificial Intelligence / Machine Learning? http://t.co/Lpk94FQq (1 Jan)
• JohnDCook: Kafka world problems http://t.co/5257Wrob (1 Jan)
• Elenina_M: #MATLAB to #Python #Compiler - http://t.co/jV49rIiY (1 Jan)
• CompSciFact: Online graph theory book by two leaders in the field http://t.co/9amjNI7k via @mathematicsprof (1 Jan)