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

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

  • zoltanvarju: Functional Programming Patterns in Scala and Clojure http://t.co/u5WyNZhSG1 (27 Oct)
  • lizardbill: Concrete Mathematics: A Foundation for Computer Science [PDF] http://t.co/epWAny0EXt (27 Oct)
  • siah: Design Thinking and Data Science http://t.co/LUvRzEfta9 (27 Oct)
  • alexk_z: Bayesian Computation with #R, slides on the topic by Kastner, Hornik et.al. http://t.co/ly4J8HB7LV #rstats (27 Oct)
  • alexk_z: Nice overview of Object Orientation in #rstats a.k.a. S3 and S4 Class Systems by Kurt Hornik http://t.co/9Je78rf2Pi (27 Oct)
  • ananelson: Starting on developer docs for dexy using dexy & asciidoctor http://t.co/WITJrTNRCh resulting code diff https://t.co/2meXG767Ms (27 Oct)
  • minrk: Share your IPython Notebooks as a gist with the click of a button: https://t.co/zDdGBwVT64 (requires IPython master) (27 Oct)
  • yokofakun: berkeleydb 6.0, new features: http://t.co/XUK0eg82MK (27 Oct)
  • genetics_blog: Github for writers? http://t.co/wWt5C02xsy (27 Oct)
  • Viral_B_Shah: We just tagged #julialang v0.2.0-rc2 https://t.co/FKgrz7hWs2 (27 Oct)
  • TomTensfeldt: #emacs calculator http://t.co/dyT9PTjQtP - highlights. Didn’t realize it could do linear algebra or differentiate expressions. Nice! (26 Oct)
  • ThembeK: Apache Hive 0.12: Stinger Phase Two… DELIVERED http://t.co/hL7SLX91Fy (26 Oct)
  • jedisct1: A graphical user interface tool for Latent Dirichlet Allocation topic modeling: https://t.co/b02fYliZcv /via @debasishg (26 Oct)
  • ThembeK: Apache Pig 0.12…The Community Breeds a More Powerful Pig http://t.co/y14ByKHGjr (26 Oct)
  • hmCuesta: Data nerding in public health http://t.co/k5IXovLcWd (26 Oct)
  • fMRI_today: The history and basics of fMRI “decoding” aka “brain reading.” Exciting work and a very wide open area of research. http://t.co/diT21jihoC (26 Oct)
  • keithf4: Having extension problems in #PostgreSQL 9.3? http://t.co/KLXoF8sdLU (26 Oct)
  • ogrisel: If you upgrade OSX to Mavericks & use homebrew don’t forget to ‘xcode-select –install’ to get the latest version of the command line tools. (26 Oct)
  • FGRibreau: How to quickly get started creating status bar apps for Mac OS X using RubyMotion http://t.co/LEDMSfzq6M (26 Oct)
  • robincamille: I wrote up a tutorial for making a Twitter bot using Python! http://t.co/sSfOpJQzSQ Includes script for tweeting a text line by line. (26 Oct)
  • juanriaza: Generate D3 Bar Chart Source Code http://t.co/j6qbUHKT6G #d3js (26 Oct)
  • johnmyleswhite: I wrote a piece about #JuliaLang for the @strataconf blog: http://t.co/SkPrkJitNd (25 Oct)
  • recology_: Woah, @fontawesome v4 out http://t.co/9JBuQR4Aqm (25 Oct)
  • gvanrossum: Early history of Python metaclasses http://t.co/FMQQuqIaO1 (25 Oct)
  • siah: Advanced R Programming by @hadleywickham http://t.co/IekIw6emgf #rstats (25 Oct)
  • fonnesbeck: ActivePapers for Python: a tool for reproducible research https://t.co/pUG4Ldheiy (25 Oct)
  • voidspace: Ned Deily on the new challenges that OS X Mavericks brings to Python (crashes and fixes, yay!): http://t.co/ip7JYbrCaJ (25 Oct)
  • conjugateprior: “teachers who are more effective … receive worst evaluations from their students” an experimental study from Bocconi http://t.co/mScT3lxnFn (25 Oct)
  • shantonusen: Build your own kernel for OS X 10.9 Mavericks: http://t.co/dUoKLjO8Co (25 Oct)
  • eddelbuettel: Introducing the CRAN (Repository) Policy Watch: http://t.co/XwbmsQIdh5 #rstats (25 Oct)
  • YhatHQ: IPython Tip Sheet | http://t.co/qhSs2HCsIZ (24 Oct)
  • t3kcit: .@larsmans_nl’s “missing manual on C integer types in Cython” https://t.co/0EzkRvXTZ1 (24 Oct)
  • hmason: The entire set of @datagotham 2013 videos are up on youtube! http://t.co/2Cm3fDOQ1K (24 Oct)
  • hadleywickham: RT @rstudioapp: Note on OS X 10.9 Mavericks compatibility with RStudio: http://t.co/cA4KNTOgAn #rstats (24 Oct)
  • HNTweets: Haskell kernel for IPython: https://t.co/clh34ARFtK Comments: https://t.co/GuzacDuTg6 (23 Oct)
  • yokofakun: wrote a XSLT stylesheet to convert github wiki pages to html (for blogging ) https://t.co/KxdSQbeWga (23 Oct)
  • BokehPlots: Check out the new Bokeh web page! http://t.co/oCrPKo9Adc (23 Oct)
  • vicapow: my slides and demos from d3.bayarea() hosted by @enjalot at @github https://t.co/USLWWianp3 (23 Oct)
  • ChrisDiehl: Reading through the Vega tutorial. Looking forward to digging in more! https://t.co/sopqCWMMHX (23 Oct)
  • Stiivi: Live Demo of CubesViewer 0.7 – Python reporting and charting app for Cubes OLAP by @jjmontes http://t.co/svO9RNnPGa #python #olap #data (22 Oct)
  • jjmontes: CubesViewer 0.7 released! Includes a bunch of new features and improvements :) https://t.co/A0ygoaqjt0 (22 Oct)
  • abellogin: DORA http://t.co/qlytdBuNt6 “to improve the ways in which the outputs of scientific research are evaluated” (22 Oct)
  • ben_fry: Happy birthday to @REAS! Processing 2.1b1 now posted https://t.co/rB0VhQK5RD major changes: https://t.co/dv5bYya0pv Java 7, new Serial lib… (22 Oct)
  • bis101: And details on the calculations. H/T @Graham_Coop #bis101 http://t.co/Q02OxXeKuo RT Which grandparent are you most related to? (22 Oct)
  • introspection: New Declaration of Helsinki for Medical Research Involving Human Subjects: Open #preregistration is mandatory now! :) http://t.co/oIakeQxHXZ (22 Oct)
  • quandl: Free online course from Syracuse: Applied #DataScience by @KDnuggets http://t.co/P0CnY9RHR2 #MOOC #education (22 Oct)
  • gappy3000: For the interested,the beautiful “Visual Complex Analysis” http://t.co/v44EPveTP0 .@freakonometrics: “Conformal Maps” http://t.co/Zg8BYl7YUa (22 Oct)
  • kowey: Hey! Pandoc on Slashdot. More #haskell in the wild. http://t.co/7MPEgYhatt (22 Oct)
  • jimRsmiley: New Blog Post: Use #PostGIS on #opendata to get stuff near other stuff, like I did with #crimedata and #transitdata http://t.co/l1vlX0TtLU (22 Oct)
  • bytebiscuit: #Python is left far behind on concurrency in comparison to #Clojure according to this article http://t.co/IxNq0yMsYI (22 Oct)
  • hmason: Need to generate really big synthetic graphs? Stochastic Kronecker natural graphs http://t.co/HW1CmdpG6l (20 Oct)
  • lizardbill: A Python guide for open data file formats http://t.co/yohUu6dedV (20 Oct)
  • EpiFunky: Applied epidemiology using R http://t.co/oMzxTswy7p (20 Oct)
  • victor_stinner: Python 3.4 has 4 new modules: asyncio (tulip), enum, selectors, statistics: http://t.co/mS7iRzhmmI and probably also tracemalloc (PEP 454) (20 Oct)
  • gappy3000: Book Review: “Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration… http://t.co/253rsN8Eq2 via @prismatic (20 Oct)
  • mja: Finding @timehop to be a lot more fun after uploading my Twitter archive. Showing me tweets from 6 years ago http://t.co/MZO13UtZw0 (20 Oct)
  • CRANberriesFeed: CRAN updates: robustfa http://t.co/yymqeHCGbQ #rstats (20 Oct)
  • trebor74hr: #MongoDB vs #CouchDB vs #Redis vs #Riak vs HBase vs Couchbase vs ElasticSearch … comparison :: Kristof Kovacs http://t.co/66XjDVefpO (20 Oct)
  • benoitc: started a repo to collect docs about #couchdb internals http://t.co/nzlwPqOz6m Feel free to join me :) (20 Oct)
  • flash_us: Are functional programming languages suitable for graphics programming? #clojure http://t.co/JYUeWDo80W via @prismatic (20 Oct)
  • zentree: “Do not log-transform count data” Methods in Ecology and Evolution 1(2): 118–122. http://t.co/pE5B61Ct7E (20 Oct)
  • BakerEDMLab: Upcoming book chapter on #educationaldatamining (#EDM) and #learninganalytics by Ryan Baker and @gsiemens http://t.co/0o7o0IPleC (20 Oct)
  • bbatsov: The #Clojure cheatsheet for #Emacs joined today the ranks of projects under the hat of clojure-emacs https://t.co/fQwl78vWFV (20 Oct)
  • drago_carlo: Introduction to Python for Econometrics, Statistics and Data Analysis http://t.co/dH2V8rsSnn via @YhatHQ #Econometrics #Statistics #Python (20 Oct)
  • _inundata: Excellent post by @xieyihui on how to choose between #markdown and #LaTeX. http://t.co/gn9h2zfmgj ↬ @kwbroman #rstats (20 Oct)
  • ramnath_vaidya: #rCharts wrapper (wip) for @StoryMapJS http://t.co/lEW8Q8qV3l src to create storymap here https://t.co/csaimGooAQ #rstats @nbrgraphs (20 Oct)
  • Datumbox: Start using #MachineLearning in your applications by using the free #API of Datumbox: http://t.co/AAWhDNLTFM #bigdata (20 Oct)
  • smdiehl: Blogged about my Haskell/Vim tools of choice. http://t.co/NrfufIYQW5 (20 Oct)
  • jedisct1: RT @geeknik: Grab these free programming books from Github http://t.co/uTkmsacin5 (20 Oct)
  • _inundata: Sick of the boring Sublime Text icon? Here’s a nicer one. http://t.co/7mhnqA8LnV (19 Oct)
  • ctitusbrown: Old post on workflows in data intensive sci gets a new comment http://t.co/D1TV0lZJh0 from @pvanheus – recs bpipe http://t.co/goLizxX7Oj (19 Oct)
  • DataWL: Carry-over balanced designs for 8 treatments: Those are Williams designs you might say, but it … http://t.co/3I5ab9pSTe #bigdata #data (19 Oct)
  • mdrcode: Without realizing it, this guy wrote a beautiful social science allegory for the entire #bigdata hype machine http://t.co/FKYLxD4GOT (19 Oct)
  • StatFact: My review of “Geometric Structure of High-Dimensional Data and Dimensionality Reduction” http://t.co/PKwcS2f8iu (19 Oct)
  • UnixToolTip: “My Favourite Emacs Packages” http://t.co/ziQMwjd74F by @sdrelton (19 Oct)
  • andrew_jones: WTF Visualizations: http://t.co/ZzErZQOUdA (19 Oct)
  • PaulLikeMe: The Unlimited Potential of Online Mental Health Tools http://t.co/r18oNKV6Fn via @psychcentral (19 Oct)
  • alexhanna: I spoke in a political science seminar and put together a short collection of data tools I use for the novice http://t.co/d3WDldsBLH (19 Oct)
  • freakonometrics: (unfinished) “PDE Coffee Table Book” http://t.co/toskpK9wYZ via @stochastician awsome ! (19 Oct)
  • yantonov: Data representation in clojure https://t.co/rIF5swgKrP (Prismatic’s engineering practices sessions) (18 Oct)
  • HlthAnalysis: I also recommend to read “Are You a Data Scientist?” http://t.co/zfEIGp3EUF & letter from @VizCandy to Stephen Few @nalyticsatwork (18 Oct)
  • torstenseemann: Good primer for newbies on how to use ‘samtools’ for genotyping - reads to SNPs explained step by step http://t.co/Nes0sIGdVn (18 Oct)
  • conjugateprior: How to talk about data as if neither statistics nor any of the social sciences exist: http://t.co/H7QpPTiQi3 (18 Oct)
  • cpsievert: A sneak peek into my new #rstats package XML2R (CRAN version coming) http://t.co/S5OIADkws9 (18 Oct)
  • shiffman: repository for set of Processing examples / resources for #natureofcode cosmos workshop at #ITP. https://t.co/0FPUqyAIXw suggestions welcome (18 Oct)
  • abmathewks: Where to start with text mining. http://t.co/HvmMAh66Ca #rstats (18 Oct)
  • genetics_blog: Not that anyone asked, but there are some real differences between PCA and PCoA in microbial genomics http://t.co/zRIDcHPcUw (18 Oct)
  • stephen_wolfram: Can humans still do math? Having fun seeing if I can with today’s new Wolfram Problem Generator… http://t.co/BftqYyt7eI (18 Oct)
  • kdnuggets: Hadoop 2.0 makes #BigData more accessible, lets developers build apps directly within Hadoop http://t.co/ahWY3qF22f (18 Oct)
  • albertocairo: Responsive #dataviz and #infographics with D3.js by @eyeseast http://t.co/EgsRlCAvbR via @flowingdata (18 Oct)
  • albertocairo: Arithmetic vs. logarithmic scales (and trendlines) in graphs: A discussion http://t.co/OxAf5ImOYg #dataviz #infographic #ddj (18 Oct)
  • kdnuggets: LIONbook Chapter 11: Democracy in machine learning - how to combine different models in creative and effective ways. http://t.co/HXbwKvmKJB (18 Oct)
  • Conor_Dixon: Statistical models predict a Kickstarter success with 76% prediction rate: http://t.co/HOfvqsZQsn (18 Oct)
  • kscottz: Want to look like a python pro? Upload your notebooks with this https://t.co/GfGNvQ8452 and then share them with this http://t.co/7d5S9cjLLw (18 Oct)
  • labmind2014: ipython-diags - ipython notebook extension for diagrams http://t.co/rZKelsK33k (18 Oct)
  • RichardEudes: Text Mining in JMP with R http://t.co/UkkfsMQGPA @JMP_software #JMP (18 Oct)
  • DrBunsen: @modernscientist @ChewingPencils I use Vagrant quite a bit. It’s very nice. I’ve also been playing with Docker: http://t.co/562Coye4Oh (18 Oct)
  • irr: 14 great tutorials on Docker http://t.co/n38W2bPwdY (18 Oct)
  • modernscientist: @ChewingPencils Another option for an encapsulated environment: http://t.co/7queNGIy9b I really want to try this. (18 Oct)
  • d6: I implemented an immutable R-Tree in Scala and wrote a blog explaining how it works: http://t.co/IWdvxQhnwj (18 Oct)
  • dreckbaerfrau: New Document Management System launching soon - Don’t worry about file structure, TeamDocr does it for you: http://t.co/MBpT1rSPyg (18 Oct)
  • d3visualization: #d3js work by @enjalot http://t.co/la99rm8WYh (18 Oct)
  • hadleywickham: @romain_francois like this you mean? http://t.co/BK2VJbNnuj ;) (18 Oct)
  • radar: Reproducibility Initiative to validate 50 landmark cancer studies http://t.co/Mp2MauHRjb All pubs & data will be freely available online (18 Oct)
  • onethingwell: json2csv - Converts a stream of newline separated json data to csv format. http://t.co/NYuvOk465e (18 Oct)
  • HNTweets: Grid Forms: Data entry can be beautiful (js library): http://t.co/PkErH6Qxz3 Comments: https://t.co/snOGQkUSZa (18 Oct)
  • CodioHQ: An awesome, free Web IDE for modern web app development http://t.co/3xb9EGrQCW (17 Oct)
  • valdergallo: PredictionIO, a machine learning server http://t.co/g08fG0Q9xs (17 Oct)
  • fperez_org: The Traveling Salesperson Problem: a detailed IPython Notebook by Peter Norvig: http://t.co/bIwHI3zr7B (17 Oct)
  • psychepi: Understanding mental health treatment in persons without mental diagnoses… National Comorbidity Survey Replication http://t.co/BN7NwQIf1p (17 Oct)
  • flash_us: Nice post about #Julialang introspects http://t.co/B72MPu8Okm (17 Oct)
  • bzg2: Je découvre Programmer’s Learning Machine, activité de découverte de la #programmation très sympa qui parle français: http://t.co/rZI36fNKS7 (17 Oct)
  • psychepi: #RACGP’s first online handbook for non-drug interventions, Handbook of Non-Drug Interventions (HANDI), launched http://t.co/WBjKLR6Tax (16 Oct)
  • Atabey_Kaygun: A detailed pthreads tutorial: https://t.co/MMagZyagZG (16 Oct)
  • mfiguiere: DataStax DevCenter 1.0 is Here. Get productive with Cassandra using this IDE introduced today. http://t.co/Kon8sGslfV #CassandraEU (16 Oct)
  • marijnjh: The first six chapters of the 2nd edition of Eloquent JS are up & ready for reading. http://t.co/osbPkyYJ5C https://t.co/R8K4V3sdxB (16 Oct)
  • bbatsov: nrepl.el is now cider (#Clojure IDE and REPL) https://t.co/PzjByQVLmE cider will be packaged next week, until then-use your current package (16 Oct)
  • mbostock: An interactive network visualization for traversing Bitcoin transactions: http://t.co/JBb8S47oVL #d3js (16 Oct)
  • ramhiser: Interesting. word2vec ported to #Python http://t.co/dX1JNJ4nDL (16 Oct)
  • onethingwell: doc2txt - docx2txt is a perl based command line utility to convert Microsoft Office Docx documents to… http://t.co/ZwOawSRPMB (16 Oct)
  • carlislerainey: And here’s food politics on the “non-problems” with the NHANES data. http://t.co/oH536P8G8o (16 Oct)
  • mfiguiere: The slides of my talk “Cassandra 2.0” at @chtijug are available: http://t.co/soJsSfdBWt (16 Oct)
  • carlislerainey: Across the 39-year history of the NHANES, EI data on the majority of respondents were not physiologically plausible. http://t.co/ApYZusu7Fi (16 Oct)
  • jpmens: Unix Recovery Legend http://t.co/h8sebWZzvX #unix (16 Oct)
  • berndweiss: GESIS Spring Seminar 2014: “Introductory, Intermediate and Advanced #Meta-Analysis Techniques” (with #rstats ) http://t.co/KfKv1dOnQ2 (16 Oct)
  • Bioconductor: #Bioconductor 2.13 is released! http://t.co/w9HZW7op00 (16 Oct)
  • d3visualization: Word wrap plugin for #d3js using SVG tpsan http://t.co/2je0MF2zPS by @d3visualization (15 Oct)
  • arnicas: Hey, cool ranking vis app is downloadable! RT @dr_pi: Best paper tool at http://t.co/5ls0lxhYGJ #infovis #ieeevis (15 Oct)
  • IgorCarron: Application of compressed sensing to genome wide association studies and genomic selection http://t.co/NN7mx5QzbN (15 Oct)
  • lcdutoit: Use #rstats #ggplot2 with #pandas from python https://t.co/rVjBWsf2fh in 20 lines :) (15 Oct)
  • jedisct1: RT @timyardley: Ghost blogging platform is now available on Github! https://t.co/FUTzJaIIEN (15 Oct)
  • kennamshaw: Database of disease genes shows potential drug therapies | Science Codex http://t.co/cJJiqtCusz via @sciencecodex (15 Oct)
  • YhatHQ: Post about ggplot2 and an attempt to bring it to Python. | http://t.co/iTbsksNfuK @yhathq (15 Oct)
  • idtdna: Beyond genetics: mining biological networks for new treatments for disease http://t.co/96pSGPBEKN (15 Oct)
  • YhatHQ: Tips and recommendations for fitting linear and nonlinear models to data. | https://t.co/E7bC5eOKrP (15 Oct)
  • DrBunsen: Fantastic. A union of my favorite things—Python meets ggplot: https://t.co/kLvo3DcoRN (15 Oct)
  • Atabey_Kaygun: Graphviz Cookbook http://t.co/qzEorPRqcv (15 Oct)
  • YhatHQ: pystruct / pystruct - an easy-to-use structured learning and prediction library for Python | http://t.co/9MjA424D2j | pip install pystruct (15 Oct)
  • Altons: Interactive 3D in Shiny (shinyRGL) http://t.co/rxnRBrUDsd #rstats (14 Oct)
  • technomancy: Posted my impressions of OCaml from a few weeks of use writing Grenchman: http://t.co/oBcE17ZGb3 (14 Oct)
  • KirkDBorne: Awesome collection of scripts & code for algorithms: http://t.co/yMxxsC2tt6 | #MapReduce #DataMining #Statistics #Games #Math (14 Oct)
  • joe_pickrell: Preprint on hacking privacy with genetics by @erlichya and Narayanan http://t.co/AG85Q4wu5C on @Haldanessieve (14 Oct)
  • YhatHQ: 15 Principles for Data Scientists | http://t.co/WqRqG5h2ok @siah (14 Oct)
  • statisticsblog: Book Review: Statistics for spatio-temporal data. http://t.co/MjtwrN5rrS (14 Oct)
  • MirjamLeunissen: #ieeevis Python tutorial slides with many useful tips will be available soon on Github: https://t.co/WtWlYksYwR (14 Oct)
  • treycausey: Functional Python Made Easy http://t.co/CggU6LZuEa (14 Oct)
  • Jeylen: statistical foundations of machine learning | open-access textbooks http://t.co/iqW9dEYCX0 (14 Oct)
  • modernscientist: MT @matt_blackwell: Amazing: use LaTeX to make interactive diagrams for HTML. http://t.co/kvHHEEyWwI // cc @hanisch (14 Oct)
  • ramnath_vaidya: @inundata I just added two css files from @recology to the Rmd file, and here is the result http://t.co/18w2PnFS6V. Easy to roll as theme. (14 Oct)
  • ramnath_vaidya: Adding DeckJS Extensions in #Slidify http://t.co/ScMSeFfce5 #rstats (14 Oct)
  • StackTeX: Great answer: Showcase of beautiful wine bottle labels made with LaTeX/TikZ and friends http://t.co/UB22bKecnM #biglist (14 Oct)
  • philfv: An introduction to frequent pattern mining http://t.co/4xRHPo0sSO #datamining #pattern #mining (14 Oct)
  • SeanTAllen: StackEdit: A free, open-source Markdown editor based on PageDown => http://t.co/2yAAOjhf3t (14 Oct)
  • mwheeler_DDG: #DataScientists Create Code Of Professional Conduct http://t.co/rxQOg91UgW (via @kdnuggets) (14 Oct)
  • igrigorik: free programming books: http://t.co/J0RoHy6O4H - large and growing list.. including HPBN in the networking section (woot!). (14 Oct)
  • paulblaser: Health data collection and connection http://t.co/vS8fC3KxzG (13 Oct)
  • YvesMulkers: Best Practices for Designing Efficient Workbooks http://t.co/t98vicuZtt (13 Oct)
  • KirkDBorne: Excellent! > 7 Steps for Learning #DataMining and #DataScience: http://t.co/c4EEyAD5kI by @kdnuggets (13 Oct)
  • modernscientist: NEW POST: Automated Notifications of Experiment Progress: Combining Shell, SSH, Growl, and Prowl http://t.co/SNYuaPd8kR (13 Oct)
  • TeXtip: Pastebin for math: http://t.co/hXzN8Z3lD5 via @christianp (13 Oct)
  • paulblaser: Data Scientists Must Also Be Research Methodology Scientists - http://t.co/A8gajt9Ine (13 Oct)
  • epistatistic: The Care and Feeding of the Biostatistician. http://t.co/vMB3LFYmVt via: @droche88 (13 Oct)
  • wattenberg: Smart, beautiful visualization book by @IsabelMeirelles at http://t.co/WnCQZXKiZn And I’m not judging the book by its cover! (13 Oct)
  • TrestleJeff: Use the Ace code editor within Shiny! https://t.co/QIcXwQjbzO #rstats #shiny http://t.co/W7Qlnc9zE8 (13 Oct)
  • paulblaser: Google releases new R package for Big Data #rstats http://t.co/bCtOfbc7nT via @Gliders_Coach (13 Oct)
  • Conor_Dixon: (PDF) Python Programming: An Introduction to Computer Science: http://t.co/dQ4KoUphiE #HDSDA (12 Oct)
  • nicolastorzec: Finally a book about the #openRefine Data Transformation tool, by Ruben Verborgh and Max De Wilde: http://t.co/mT7SHKpFcS - via @tomayac (12 Oct)
  • fonnesbeck: A preview of PyMC 3: Gelman and Hill’s radon example http://t.co/uaE4gg4XEj #Python (12 Oct)
  • fonnesbeck: @TWiecki Here’s a cleaned-up final version http://t.co/dBy7Gznj9a (12 Oct)
  • recology_: #JSON is now a formal international data processing standard http://t.co/rwcFEizCmI (12 Oct)
  • kasthomas: http://t.co/bpj5CJeKSt is a good alternative to Gmail. No ads. Easy interface. (12 Oct)
  • statisticsblog: Some smoothing techniques in R. http://t.co/ezNzpHCX4R #r #rstats (12 Oct)
  • MoritzBuchi: “Tweeting News Articles” http://t.co/Ahj7eK9WDH features some fancy R #rstats plots @herrcafe (via @SAGElibrarynews) #openaccess (11 Oct)
  • revodavid: R has all the signal processing capabilities of Matlab and SAS – and then some: http://t.co/vRpUCy8mbn #rstats (11 Oct)
  • RLangTip: Customize your R environment with these suggestions for your .Rprofile: http://t.co/p039xNpZUE #rstats (9 Oct)
  • StatFact: Public data from Google: http://t.co/hIPEbjtIjq (9 Oct)
  • yannabraham: Tableau adds integration with R #feedly http://t.co/jrUm9V7myE (9 Oct)
  • jcborras: Use stackedit for enjoying a capable mardown editor on Google Drive. http://t.co/ytlKLytcuW (9 Oct)
  • jedisct1: MLPack 1.0.7 released: http://t.co/aGww8HWcFq #ml (9 Oct)
  • JelteWicherts: Nature and Nurture of Intelligence and Specific Cognitive Abilities: The More Heritable, the More Culture Dependent http://t.co/4KhaihmPjH (9 Oct)
  • JelteWicherts: Nonsignificant outcomes in educational research 30% more likely to be omitted from publications than significant ones http://t.co/2I4vfCewtK (9 Oct)
  • kdnuggets: Data Scientists need to be Polyglots - know 2 or more of #python #rstats #sas #spss #matlab #julia #octave http://t.co/LtzIOzZ4XH (9 Oct)
  • jedisct1: PgToolkit - tools for PostgreSQL maintenance https://t.co/XD6wpi0Nck (9 Oct)
  • oceankidbilly: Mapping Data in Python with Pandas and Vincent: http://t.co/xIu0jMLkPc (9 Oct)
  • kwbroman: Brad Efron’s 13 rules for giving a really bad talk. http://t.co/uGzFq1KmPG via this page: http://t.co/AVcU5JWgxY (9 Oct)
  • aterrel: Beautiful site from @nvaroqua showing off John Hunter Plotting Contest winners http://t.co/eJJVbXHQux (8 Oct)
  • michaelaye: ““Large data” work flows using pandas - Stack Overflow” good read http://t.co/WQYAJdxelu (8 Oct)
  • albertocairo: A review of the data-driven journalism MOOC by @civilstat http://t.co/XaKB3idXOQ #ddj #dataviz #infographic (8 Oct)
  • HarlanH: Center for @DataInnovation post: #JuliaLang: A Government Primer http://t.co/mA2XRrfQoJ #datadc (8 Oct)
  • climagic: <http://t.co/ni3xL4S3Nc # A tutorial on how to use the join command to join data on a common field. By @craig552uk (8 Oct)
  • shoha99: MT: @YhatHQ : Survey analysis in #R http://t.co/wOxWdrW0Eg (8 Oct)
  • d3visualization: I’m pleased to launch Micropolar: a tiny polar chart library http://t.co/LF5LuojUvP by @d3visualization #d3js (8 Oct)
  • gappy3000: Like in sex, “moderately large” is in the eyeof the beholder #rstats http://t.co/m5yj8Zu8KY (8 Oct)
  • psych101: Free 95-page primer on the brain and nervous system Produced by the Society for #Neuroscience. http://t.co/BnZMJlmSRX #psychology (6 Oct)
  • GSwithR: Base graphics tutorial http://t.co/mgM1WJCcwO (6 Oct)
  • fperez_org: EdX course on Linear Algebra from UT Austin (Myers and van de Geijn): mix theory and tools, using IPython Notebooks: https://t.co/5W5YaHBy6e (6 Oct)
  • tslumley: Summary of my Nerdnite talk from last week now up at http://t.co/TXNUpApLCL (6 Oct)
  • kwbroman: Slides for my upcoming talk on open access publishing. http://t.co/ExJ1G88m8H Source is on github. http://t.co/y2sfV5NIN7 (6 Oct)
  • technomancy: Enjoyed this detailed overview of pros and cons of different language options for replacing a python program: http://t.co/7TQe20Nleb (6 Oct)
  • wabarree: @hadleywickham curriculum for R very useful http://t.co/7taSDFR67Q - says 1:length(x) is dangerous. Why? I do it all the time :-| #Rstats (6 Oct)
  • ctitusbrown: Really interesting article on fundamental conn between math and programming langs: http://t.co/HmWKmB4RhQ …he should post to @figshare. (6 Oct)
  • jsonstat: A new #sample JSON-stat file available at http://t.co/cjKQWCK9Ye us-gsp.json contains several metrics in several units #gsp #population #usa (6 Oct)
  • recology_: SheetAsJSON – Google Spreadsheet Data as JSON http://t.co/HXSjLOT2fK via @Prismatic (6 Oct)
  • sw1nn: OH “Data Science is just statistics using a MacBook” #HackFC (6 Oct)
  • paulblaser: What is a large enough random sample? - http://t.co/taijyvnKL5 http://t.co/taijyvnKL5 via @WinVectorLLC (6 Oct)
  • peterseibel: I becoming more and more of a fan of (good) static typing but Common Lisp still has some nice tricks up its sleeve: http://t.co/TztkR78HOA (6 Oct)
  • hadleywickham: more great graphics research out of ISU: Validation of Visual Statistical Inference… http://t.co/LbUQ3xeFqH (free for 90 days!) (5 Oct)
  • kdnuggets: Useful ! Sample source code for various data science tasks and projects http://t.co/vdYqifwJgD (5 Oct)
  • algoriffic: Topological data analysis: http://t.co/gRhOSeiPpf via @prismatic (5 Oct)
  • HarlanH: 3 months to understand a new job; 3 years to get bored. @rands: http://t.co/U3EysBmc1O (5 Oct)
  • jedisct1: RT @pchapuis: Full course on Lua by @mascarenhas - awesome resource! http://t.co/w6h8KESsaY (5 Oct)
  • YhatHQ: Machine Learning with scikit-learn - IPython slides by Andy Mueller http://t.co/5KTODsjHYs @t3kcit (5 Oct)
  • ramnath_vaidya: How #rCharts works? Part 1 http://t.co/oa0EYFZj8D #rstats @d3visualization @uvCharts (5 Oct)
  • unixandperl: UNIX and Perl to the Rescue!: A Field Guide for the Life Sciences (and Other Data-rich Pursuits) $30.79 on Amazon http://t.co/kpskyXmik3 (5 Oct)
  • internetsurfing: Introducing Harp - the static web server with built-in preprocessor http://t.co/lGYCz2hlR7 via @sintaxi (5 Oct)
  • ianirudha: #solr A very powerful OLAP/Stats component Open Sourced by Bloomberg LP docs- http://t.co/8GF5Tcocex jira- http://t.co/oS1Cib16BX (5 Oct)
  • ooglek: I’ve been using #Linux for 21 years (!) and yet the Top 10 Good UNIX Usage Habits from @IBM taught me something. Win! http://t.co/satZ7wDPBS (5 Oct)
  • PeterGoldey: Truly cool - type something in and see sentiment analysis in action! Really smart people. http://t.co/XI3StJWJWb (5 Oct)
  • HBRhealth: An example of data-tracking and patient personalization in health care http://t.co/52nQW1cjtB (4 Oct)
  • robjhyndman: “Big data doesn’t just mean increasing the font size” - xkcd http://t.co/T0Nj9ccVmR (4 Oct)
  • ericnormand: This article has changed my life. Vertical centering in CSS?!?!?! http://t.co/Dl8yzxEfqJ (4 Oct)
  • pbaleixo: “Companion Biomarkers: Paving the Pathway to Personalized Treatment for Cancer [Review]” http://t.co/1n0o3ibDds (4 Oct)
  • jaykreps: “Concurrency Control and Recovery in Database Systems” (free online book) http://t.co/ezvau36Cuo (4 Oct)
  • Swizec: I completed “You Can’t JavaScript Under Pressure” in 7 minutes, 26 seconds! Can you code quicker? http://t.co/823Z0daJ35 (4 Oct)
  • jseabold: Some nice lecture notes on causal inference from @cdsamii http://t.co/MLwLaJzjcX (4 Oct)
  • revodavid: .@revojoe reports in from #dataweek - 6 lightning talks on R http://t.co/fMyk2fQCs7 #rstats cc @brandewinder @clarkfitzg #rstats (4 Oct)
  • siah: Holly awesomeness of the day “Voronoi Treemaps in R” http://t.co/br5nus7OKd #rstats (4 Oct)
  • emaadmanzoor: The Stanford CS229 lecture/section notes are the best curated reading to accompany any introductory ML class. http://t.co/Hq79eRunfE (4 Oct)
  • mja: @zentree @SuseJohnston Something like this https://t.co/wuE1Akq27g . I’m probably reimplementing a known technique (like kriging) poorly (3 Oct)
  • MattDowle: @piccolbo data[order(data[,cols]),] is not data.table syntax. It’s data[order(cols)]. Several advantages. See http://t.co/kB1q4SkaL1 (3 Oct)
  • Caged: Kinda love that people used their contribution calendar in creative ways. https://t.co/fq5y6nLvaN (2 Oct)
  • patrickm145: Small Multiples : Part 1 : Chord Multiples http://t.co/NeKCS0RNoa #dataviz #d3js (2 Oct)
  • arnicas: Phenomenal thing I just learned: You can do “copy(JSON.stringify(object))” in a Chrome console to copy it to a clipboard for saving. (2 Oct)
  • olinhyde: Nice blog w/ practical text analytics tips: Deep learning with word2vec and gensim http://t.co/Ou2QsPcC6x #machinelearning #bigdata (2 Oct)
  • houshuang: Likert-graphs in R, embedding metadata for easier plotting http://t.co/YDzUbCdjry #R #researchmethods 2 Oct)
  • kwbroman: More slides on data visualization: pdf: http://t.co/e6kmoaXumO source: https://t.co/NaFRhA9vFi (2 Oct)
  • planetclojure: A Tip For Navigating Clojure Files in Emacs http://t.co/4Z5n81WH6b (2 Oct)
  • craigkerstiens: RP: Aggregating an array and formatting it simply in Postgres is both extremely powerful and simple http://t.co/0UTk4PjppN (2 Oct)
  • ethanwhite: Forecasting elections using dirty data http://t.co/tmQUJboXxi Accurate prediction using non-representative volunteer response polls. (2 Oct)
  • devillesylvain: Write less. http://t.co/Sk36oh4zIr True for manuscripts, too. Don’t dissolve your message. (2 Oct)
  • fperez_org: Python for Signal Processing: J. Unpingco’s book started as a coll. of IPython Notebooks: https://t.co/BHMNKd3vAT. https://t.co/mI3hlYTX8i (2 Oct)
  • zentree: “Data Journalism Handbook” web version. http://t.co/S4QVKyWDS6 (2 Oct)
  • JelteWicherts: We are inquiring about data from citation classics (>1000 cites): just received some data! Hope to publish them here: http://t.co/VsWATRmQXS (2 Oct)
  • drago_carlo: Classification with O-PLS-DA http://t.co/qbfIpyUIh0 via @Prismatic @Rbloggers #Statistics #DataMining #PLS #DataAnalysis #Classification (2 Oct)
  • DrBunsen: @modernscientist @fonnesbeck See WTFviz. They’ve archived some real gems: http://t.co/GNcgsZcuOa (1 Oct)
  • SublimeTxtTips: RT @paprikkastudio Sharing is caring: a generic #sublimetext config for mac / win: https://t.co/iy2Kg2qlgq (1 Oct)
  • statisticsblog: R tip of the day - ROC curves, their interpretations and classification. http://t.co/fMQCk9eQhZ #r #rstats (1 Oct)
  • d3visualization: How to handle dynamic json data with #d3js http://t.co/k7c0WCNnnP by @pothibo (1 Oct)
  • tapoueh: How to Extract, Transform and Load data into PostgreSQL within less than 10 nanoseconds per row, at http://t.co/TSLBfFWIbs (1 Oct)
  • d3visualization: Huge list of 1900 D3.js examples http://t.co/vwy2WIW3tI by @d3visualization #d3js (1 Oct)
  • trebor74hr: The Book of #CSS3 - Free Download eBook - pdf http://t.co/ENQKF7d4yL (1 0ct)
  • jedisct1: RT @mblondel_ml: Logistic model trees: decision trees with logistic models at the leaves http://t.co/OMQPAirP3H (1 Oct)
  • planetclojure: Vizier: My entry for Clojure Cup 2013 http://t.co/qFr0RNmydN (1 Oct)
  • neilfws: Very nice visualization of #rstats code over time: http://t.co/kobcexgtH8 (1 Oct)
  • neilfws: Bookmarked: Recommendations for the design and analysis of epigenome-wide association studies http://t.co/sDtZiLpQbX (1 Oct)