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

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

• drago_carlo: Machine Learning Video Library by Caltech has topic-by-topic video segments covering ML http://t.co/0FHtbd2H6E via @rjourney (26 Dec)
• freakonometrics: [free online-book] “An Illustrated Book of Bad Arguments” https://t.co/3ye2uHsFg7 by @alialmossawi (really awesome !) (26 Dec)
• StatFact: “The fourth paradigm: data-intensive scientific discovery” http://t.co/RtRatmc6a3 // free ebook, 287 pages (25 Dec)
• theorosendorf: Fénix: a promising [and free] modern serifed typeface http://t.co/6OzhSLYBJ4 (25 Dec)
• niwibe: cobrascript - Python to Javascript syntax translator (like coffescript but with python syntax) - https://t.co/bqQBluUH5v #python (25 Dec)
• benhamner: The CDC knows where the flu was. Google tells you where the flu is now. Can @kaggle tell you where the flu will be? https://t.co/SdyNu3Nkj4 (25 Dec)
• zoltanvarju: Clojure vs Scala http://t.co/DL7AWMU9id (25 Dec)
• flavioclesio: New book: Data Mining Applications with R http://t.co/6obBZaHnkj via @kdnuggets (25 Dec)
• flavioclesio: Vasant Dhar on “Data Science and Prediction” http://t.co/UUy2QceyBt via @kdnuggets (25 Dec)
• PythonDaily: #Python #Plotly » Creating Plots with #Python and @plotlygraphs | @rjallain http://t.co/qvipqFmNMD (25 Dec)
• yoavram: @hadleywickham if you are still on this - citing ipython http://t.co/HljVwNNvYT 194 citations on scholar: http://t.co/lzA05V4Iph (25 Dec)
• alexk_z: “An Introduction to Conditional Random Fields” by C. Sutton and A. McCallum http://t.co/AmTMIshA9f #machinelearing #CRF (25 Dec)
• albertocairo: Best Scientific Visualizations of 2013, according to @wiredscience http://t.co/CnxxNInw8l #dataviz #infographics #ddj #visualization (25 Dec)
• lizardbill: Retracing the evolution of Reddit through post data http://t.co/lVBTG0ZFEP (25 Dec)
• ramnath_vaidya: @sharon000 While you are it, you can also try #slidify http://t.co/Muv8WKHCMq, an alternative to Rpres with more frameworks and widgets. (24 Dec)
• HNTweets: Datacoin: http://t.co/JiX3Orrky6 Comments: https://t.co/hjAVslAply (24 Dec)
• alexk_z: “An Introduction to Statistical Learning, with Applications in R” book by James, Witten, Hastie, Tibshirani http://t.co/ciMtoiZLpq #rstats (24 Dec)
• DashingD3js: #DataViz #Harvard #Learn » Harvard Course For Data Visualization - 2012 videos online and free - CS171 Visualization http://t.co/kzz1yuvnBy (24 Dec)
• moorejh: #datascience RT @KinetekCons: There is this question of how does one define “#bigdata.” http://t.co/lTYgPR7hfx #insight (24 Dec)
• suzyv: “@wigmoreash: Fog over New York City at Night, USA http://t.co/yeUJ5Q8Guv – Earth_Pics (@Earth_Pics) @suzyv” wow (24 Dec)
• babgi: #datavisualization : data looks better naked… Very telling example http://t.co/8MnRRuAUlN … via @nicolasrouyer (24 Dec)
• TrestleJeff: A new language that compiles to R? http://t.co/1tjvNvlocm (24 Dec)
• newsycombinator: Why use Clojure? http://t.co/pvTmFszff4 (24 Dec)
• _cingraham: When should you use nested pie charts? Here’s a handy visual guide. #datavis #publicservice #pieinyourpie http://t.co/SpTqhsU3Kf (24 Dec)
• mja: Another set of biometrical genetic models that come close to reinventing the animal model. http://t.co/f9Zbj8RqwA (24 Dec)
• HNTweets: Python Practice Projects: http://t.co/MGjxReCsvD Comments: https://t.co/HnEa9wIPTk (24 Dec)
• quandl: Using Processing & #R together by @zentree http://t.co/plAPFvvqLH #Rstats (24 Dec)
• DanielSharkov: Great read: “The Anatomy of a Viral Google Plus Post” http://t.co/WL1x4LIbXr http://t.co/rTOuTTyGZy (24 Dec)
• StatModeling: New post: Estimating and summarizing inference for hierarchical variance parameters when the number of groups is smal http://t.co/7yxlJpWdMx (24 Dec)
• HNTweets: Compiling GCC on OS X: http://t.co/WmgDjnK1Tn Comments: https://t.co/ytdgREQuz4 (24 Dec)
• albertocairo: The future of @trifacta by @jeffrey_heer: Interactive visualization http://t.co/iF36UL23r4 & http://t.co/ESFWHlvuPk v @benbendc @strataconf (24 Dec)
• HNTweets: Implementing full text search on static sites with Bloom filters: http://t.co/KXLSeX13R1 Comments: https://t.co/GG6DfrGflO (23 Dec)
• aleksj: Data looks better naked http://t.co/dsnQvPxD7Y (or Tufte ink/data ratio animated) (24 Dec)
• zentree: ‘[A problem with the] convenient #lmer function is that we end up producing a lot of garbage’. It’s too easy to use. http://t.co/IIR7tnGjja (24 Dec)
• gappy3000: Scala as a platform for statistical computing, by D.Wilkinson. Note the criticism to #rstats, #pydata and #julialang http://t.co/CcdoqMlfnz (24 Dec)
• NestorMontano: @arun_sriniv I did it A review of merge, join, cbind and rbind when used data.table objects in #RStats http://t.co/oOI1HkycxT (24 Dec)
• stevenstrogatz: Foundations of Data Science: draft of a textbook by Turing Award winner John Hofcroft and R. Kannan http://t.co/E0MkwG3Dn8 (24 Dec)
• RevolutionR: Guest Blog Post: #Apache #Spark for Big #Analytics http://t.co/Rxi02APCL6 by @thomaswdinsmore (24 Dec)
• CERInstitute: Number of Patients Studied Prior to Approval of New Medicines: A Database Analysis http://t.co/ajXnAZb6L3 (24 Dec)
• SciPyTip: Hadoop Illuminated http://t.co/quhic6UQnH (24 Dec)
• m4xl1n: Donald Knuth’s Annual Christmas Tree Lecture: Planar Graphs and Ternary Trees http://t.co/F17aJnuOXh (24 Dec)
• michaelwaskom: Seaborn 0.2 is officially released, with new plot functions, py3k compatability, and lots of fixes and improvements: http://t.co/PIEiiNvzcy (24 Dec)
• paldhous: #Python matplotlib > #d3js http://t.co/I6dx8tohob HT @freelance_astro (24 Dec)
• TypeRelease: The Next Web: The Best Typefaces of 2013 http://t.co/siBvQku0y3 (24 Dec)
• RELenski: New post “The Ten Commandments of Statistical Inference” (which I wrote for a course in 1989 and just dug out) http://t.co/aLwvCIoJqt (24 Dec)
• jedisct1: RT @MacRumors: OS X Console Emulator ‘OpenEmu 1.0’ Launches http://t.co/k8OyIoTR3i (24 Dec)
• ErgoEmacs: Emacs: all the ways to manage split windows http://t.co/Y0vLvwEyGn (24 Dec)
• jakevdp: Thanks to a small PR by @ellisonbg, #mpld3 now automatically displays interactive plots in the #IPython notebook: https://t.co/5Lkfrvy9RN (24 Dec)
• HNTweets: Awesome Mathematical Book Reviews: <http://t.co/A3ihcR9Si5 Comments: https://t.co/rQwlEscHEs (24 Dec)
• Tkalimi: #R switch from #dataframe to #datatable is inevitable when handling large data. This rule made my transition easy DT[where,select,by=…] (24 Dec)
• HNTweets: The Mathematical Hacker: http://t.co/Jf0FYY7n9z Comments: https://t.co/rHXrE36otX (24 Dec)
• zentree: ‘Why #JSON is my go-to data format’ by @tpoi http://t.co/cpvMDVPPor (24 Dec)
• scigit: @writelatex @scigit is an opensource simple version control tool for scientists that supports LaTex and docx! (23 Dec)
• bzg2: How To Exit #Emacs? “The most awaited tutorial.” http://t.co/lHObshx80K (23 Dec)
• planetclojure: Clojure Cookbook – Update http://t.co/vGtsgatzR8 (23 Dec)
• YvesMulkers: Lessons Learned from Strata London http://t.co/dUOH1xhIwD (23 Dec)
• zbrdge: @b0rk very cool little post on strace. One of my favorite tricks with strace is to strace multiple processes a la http://t.co/fvkgbE4lea (23 Dec)
• b__k: Calling the #apophenia library of statistics functions from #julialang was easy, because Julia understands C structs: http://t.co/TZ8dR8gjbn (23 Dec)
• hadleywickham: @johnmyleswhite here’s a quick benchmark including Rcpp: https://t.co/9nTXAsIUKK (23 Dec)
• kaz_yos: My emacs configuration for IPython for data analysis. http://t.co/rEe41wZNnd (23 Dec)
• EdwardTufte: Suggestions for improving most programs producing statistical graphics: inference, credibility http://t.co/DPGbFtoG7I #analytics #rCharts (23 Dec)
• devillesylvain: My must-have apps for science, 2013 edition (new blog post) http://t.co/RVEdPW76Nt (23 Dec)
• naupakaz: Most accessible intro to unit testing in python I’ve seen yet (by @rasbt): http://t.co/szv7dmWuhH link via @ctitusbrown (23 Dec)
• trebor74hr: Advanced Design Patterns in #Python | Pypix http://t.co/bz5Vbq8a25 via @pypix25 (23 Dec)
• barnoid: @stanfordnlp Thanks for releasing your sentiment analysis code. I’ve made festive use/abuse of it: http://t.co/tiPxJtVYRG (23 Dec)
• johnmyleswhite: Some thoughts about the relationship between vectorized and devectorized code in #rstats and #JuliaLang: http://t.co/PfIZ7hszSB (23 Dec)
• ramnath_vaidya: @sharon000 Embedding #rCharts in R Markdown http://t.co/BET9XsJWOG #rstats (23 Dec)
• drewconway: One page R: a survival guide to data science with R http://t.co/Ase9S9CNeq #rstats (23 Dec)
• maxrzepka: Emacs Org and @Overtone quick intro by @bzg2 http://t.co/hFKKImxykK (23 Dec)
• mxlearn: Recovering background matrices using principal component pursuit http://t.co/EpZTud6KDU (22 Dec)
• lambdamix: http://t.co/lbyljEIp2x (22 Dec)
• Atabey_Kaygun: Reconstructing the Knuth-Morris-Pratt algorithm http://t.co/MChbPRxToX (22 Dec)
• drago_carlo: A Self-Study Guide to Machine Learning http://t.co/kCMKJHkeEV via @jtoy #MachineLearning #Books #Python #Rstats (22 Dec)
• timelyportfolio: Nice to see my post extended “Processing EXIF Data” in #rstats http://t.co/NTu2p063Zd (21 Dec)
• climagic: http://t.co/qUAUviOda5 # Useful python command line one liners. Thanks @tante (21 Dec)
• gouypaic: The new slidify website rocks ! http://t.co/KKoyxtgS50 cc @ramnath_vaidya (try the online playground) (21 Dec)
• strataconf: ‘Grammar of Graphics’ author Leland Wilkinson of @SkytreeHQ: Making Machine Learning Accessible & Usable http://t.co/t11S1mIETX #strataconf (21 Dec)
• climagic: qpdf –decrypt protectpdf.pdf output.pdf # Remove any encryption or protection from PDF file: http://t.co/sYVwAZqnme Thx @Manz (21 Dec)
• nuraini: cancer datasets http://t.co/jnan1V3Gdi ftp://ftp.sanger.ac.uk/pub/CGP/cosmic #BigData (21 Dec)
• genetics_blog: Linear Algebra in 4 pages (PDF) http://t.co/VusUacpugI (21 Dec)
• michaelwaskom: I made a gist to keep track of how much of seaborn @jakevdp’s mpld3 supports: http://t.co/eKOnw68ZeF Already quite a bit - super exciting! (21 Dec)
• HNTweets: Why you should use IPython: http://t.co/6dR4vRyIsT Comments: https://t.co/nhwt3lvx4U (21 Dec)
• MostlyAnalytics: 170 slides on making sense of data by creating, and adhering to, a #digital #marketing measurement framework: http://t.co/E49FMdxNpq (21 Dec)
• james_hicks: “Nonnegative Matrix Factorization: An Analytical and Interpretive Tool in Computational Biology” http://t.co/Gk1xDkubQE #machinelearning (21 Dec)
• statsepi: Great, “gentle”, explanation of Bayesian calculations http://t.co/L25bgObWUa from @DigThatData (21 Dec)
• drago_carlo: Creating Plots with Python and Plotly http://t.co/jXkRLgRq3J via @Prismatic #DataVisualization #Visualization #Python (21 Dec)
• jakevdp: Latest commits to #mpld3 implement several new features: histograms, most patch objects, and axes-text. https://t.co/XA0ff1pVkS (20 Dec)
• zentree: ‘Data Mining Exposes Embarrassing Problems For Massive Open Online Courses’ http://t.co/lr9jHidUKu via @Atabey_Kaygun (20 Dec)
• DataTau: NLP Hacking in Python http://t.co/CwxujPtS6g. Comments: http://t.co/2U8ae3Vtoh (20 Dec)
• profmean: PMean: Sample size for comparing two diagnostic tests. http://t.co/MxJjOw9lGC (19 Dec)
• hmason: The wonderful @jonbruner does an analysis of Twitter follow behavior (you’re more famous than you think!): http://t.co/qLHpAqPXuB (19 Dec)
• ramnath_vaidya: #rCharts playground now allows downloading chart as standalone html! http://t.co/9rCLc8BOkw #rstats http://t.co/wJuZ62p1j4 (19 Dec)
• John4man: Sorted grep is so $%#&ing fast http://t.co/lv2nBXLM4B awesome little tool. (19 Dec)
• bengoldacre: There’s a new edition of Bad Pharma with an update “what happened next” chapter. Here’s the chapter: http://t.co/ZTYVfakzGG (19 Dec)
• Chris_Evelo: @egonwillighagen The app might be only available for iPhone: http://t.co/YbQjcTCbpL But the web version at http://t.co/hwrNSM2J5l is fun too (18 Dec)
• Atabey_Kaygun: Stanford Network Analysis Project has nice datasets to cut your teeth into network analysis/graph algorithms http://t.co/3lrEn6YPrX (18 Dec)
• zoltanvarju: Computational Category Theory (pdf) http://t.co/Bo7Unq2NeI (17 Dec)
• HarlanH: .@flowingdata’s Data and visualization year in review, 2013 http://t.co/63rn8AkoDF (16 Dec)
• moebio: @tillnm @moritz_stefaner related: (extrm. incomplete) map of datavis methods, some are topological transf. of others http://t.co/CiRdZfcFOw (16 Dec)
• openscience: +1 RT @scigit: Check out @ehekler’s work on “agile science” https://t.co/n3cSJG9BtL #openscience (16 Dec)
• PerlUpdate: Unix: Book Review – Perl One-Liners http://t.co/RrdRqch2Q5 (16 Dec)
• fonnesbeck: PyMix - The Python mixture package http://t.co/xv2n93kKv5 (15 Dec)
• james_hicks: Using support vector machines for scientists and engineers http://t.co/cybwChUd0G #machinelearning (15 Dec)
• Atabey_Kaygun: Epigenetic Tools and Databases http://t.co/4SqsgZZJ7N via @Prismatic (15 Dec)
• HNTweets: Lisp Hackers: Interviews with 100x More Productive Programmers: https://t.co/AT9lpOnPSd Comments: https://t.co/iBiJQMLjK4 (15 Dec)
• JustGlowing: Recognizing entities in a text: not as easy as you might think! http://t.co/oiJi9YKoOJ! (15 Dec)
• plotlygraphs: Shout out for Real Python’s kickstarter! @realpython http://t.co/Ko9MHImUKk Free, accessible programming education for the masses! (14 Dec)
• Atabey_Kaygun: New post: Optimal length of n-grams http://t.co/5m8uf34CJR (13 Dec)
• ErgoEmacs: Tips on Long Term Emacs Productivity (oldie but goodie) http://t.co/KNLJ9cVb82 (13 Dec)
• flash_us: #Lisp parentheses http://t.co/OJ7CQvn4Gl via @prismatic (13 Dec)
• ConcejeroPedro: Plotly a new libRary for R plots with multiple axes. Good example http://t.co/TZ5AYZkuJ1! (12 Dec)
• newsycombinator: Hacker news for data scientists http://t.co/37Ujs1spLp (12 Dec)
• YhatHQ: Dirichlet Processes - 2 methods to assign groups when the number of groups isn’t pre-determined | http://t.co/WhLmJ50kPE @fonnesbeck (IPynb) (12 Dec)
• glouppe: Just presented “Scikit-Learn: Machine Learning in the Python ecosystem” at MLOSS #NIPS2013 Find the notebook at http://t.co/SDr8MbxxtY (11 Dec)
• freakonometrics: [free ebook] “Conjugate Duality and Optimization” http://t.co/SjX0LEPlWV by R. Tyrrell Rockafellar (8 Dec)