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

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

• jbryer: Interested in your thoughts on this https://t.co/zsG4Shnqs0 Run Shiny apps like pkg demos put in inst/shiny @hadleywickham @rstudio #Rstats (25 Aug)
• planet_lisp: Zach Beane: Where to get help with Common Lisp http://t.co/HqM73zgATP (24 Aug)
• StephenPiment: #Emacs productivity http://t.co/htjJSwyvVx (24 Aug)
• 0xAX: Using #Emacs for #Haskell development - https://t.co/NRTuzQLDdp (24 Aug)
• nixcraft: Do you want to create quick and dirty svg charts in #Python? You will pygal http://t.co/ND23XQP7lT #unix #linux #osx http://t.co/roEFrrKiE8 (24 Aug)
• raybbecker: A Little Book of R for Bayesian Statistics http://t.co/ZWchz2FdHn #Rstats #Bayesianstats (23 Aug)
• phylorich: Peak beamer: how to render a tweet in LaTeX: http://t.co/ICdMOggmH9 (23 Aug)
• andypatt24: Check out my new post on the Dendrogram functionality I have worked on in R2D3: http://t.co/MpLHUmeP01 #d3 #R http://t.co/MLFyzo84UE (22 Aug)
• fperez_org: Awesome: Mining your IPython Notebooks with nbgrep (uses jq), by @jbarratt via @rgbkrk: http://t.co/qQTFTXa2HA (22 Aug)
• UnixToolTip: Gnu Emacs reference card http://t.co/orK9l53XUe (22 Aug)
• Atabey_Kaygun: Quick HDF5 with Pandas http://t.co/NKlicXfB73 via @JustGlowing (21 Aug)
• DevilleSy: talking about which, here is a beautiful maps of science, thanks to @PLOSONE http://t.co/WCPnLsT0Mu http://t.co/MQmVQbhGHO (21 Aug)
• DataRobot: RT @kdnuggets: Great resource for Data Scientists: #DeepLearning book draft from MIT press, read & help improve it http://t.co/obUM1mI70X (21 Aug)
• bjoseph: @johnmyleswhite @treycausey this has lots of stats/ml content, but i haven’t really used it for anything concrete: http://t.co/bKUP04WKN2 (21 Aug)
• fperez_org: @bkeegan @ellisonbg added that, together with your @FiveThirtyEight post, to new section on data-driven journalism: https://t.co/CMEfa3tbOR (21 Aug)
• YhatHQ: Synopsis of the main machine learning techniques - http://t.co/SfpksTOJxw http://t.co/0wqcMkGR7Z (20 Aug)
• scheidegger: “Algebraic visualization design, new job” New blog post http://t.co/HUTRZjkDNs (20 Aug)
• kdnuggets: Sibyl: Google’s system for Large Scale Machine Learning http://t.co/iSCWIhEGgw (20 Aug)
• fonnesbeck: @mikedewar @fperez_org @oceankidbilly @ellisonbg here is an IPython case study. http://t.co/nRc8yMAEty (19 Aug)
• jiffyclub: Did you know that just anyone can build the numpy and scipy docs? http://t.co/wsHmBMGTT2 http://t.co/9DDQYfLAeg (19 Aug)
• phylorich: For those interested in #rstats package licencing issues (GPL vs permissive), see the discussion starting here: https://t.co/OKuyf9EEqk (19 Aug)
• Billare: Liked the compactness of the decomposition & explanation of heritability here. Via this book: https://t.co/QVnyfUSHHz http://t.co/wPPoX15esx (19 Aug)
• Datumbox: How to build your own #Twitter Sentiment Analysis Tool! Code available at Github: http://t.co/MNIHYwc6Wa #socialmedia #php #MachineLearning (18 Aug)
• jakehofman: wanted: the equivalent of pig’s ILLUSTRATE for dplyr in #rstats http://t.co/4WpF1VszMD http://t.co/0ITMOyTkaw /cc @hadleywickham (18 Aug)
• treycausey: Math for Machine Learning by @fastml. <3 Linear Algebra. http://t.co/mOBqKKzQt8 (18 Aug)
• stephensenn: IMO the ratio of thought to algebra needs to be increased in the literature on random effects: http://t.co/ft82q4nUXG (18 Aug)
• ejarlebring: Useful blog post about modern (2013) latex typesetting by @OlivierVerdier: http://t.co/IRWLBfGyWH s/mathtoolset/mathtoolsset/g (18 Aug)
• HNTweets: A surge of p-values between 0.040 and 0.049 in recent decades [pdf]: https://t.co/1UeoCHGqSH Comments: https://t.co/qRWhsbklwl (18 Aug)
• jaredlander: @fonnesbeck http://t.co/VVKSR7RrYQ (17 Aug)
• chmouel: cool new mode for emacs neowin (http://t.co/GuC8Yaiyvq) mimics vim’s nerdtree, I like that it use @termie keystone code for screenshot ;) (17 Aug)
• YvesMulkers: Interview: Michael Berthold, President and Founder of KNIME, on Data Mining, Startups, and Visual Workflow http://t.co/1nzwohBHtX (17 Aug)
• HNTweets: Weechat IRC Terminal Client 1.0 Released: http://t.co/d5wkBG7XpS Comments: https://t.co/f6ZnGgeCLd (17 Aug)
• thezeist: VimR - Refined Vim Experience for OS X http://t.co/ovmws18WjX (17 Aug)
• renkun_ken: Easier way to chain commands using Pipe function with #dplyr #ggvis #rlist and more. http://t.co/1u3N8cGq2W #rstats #pipeR @timelyportfolio (17 Aug)
• JFPuget: How many errors are left to find by @JohnDCook http://t.co/Qeu8DGjjkI via @nicolasclbr Interesting and simple! (17 Aug)
• mfenner: Very excited about latest Pandoc release (1.13), in particular support for import of Microsoft Word .docx documents https://t.co/HQJUyXjAJp (17 Aug)
• Atabey_Kaygun: Doing lisp koans (https://t.co/dhsKOievFH) and 4clojure (http://t.co/DGh9cABBk6) concurrently. Great fun :) (16 Aug)
• josephmisiti: The Zen Of Gradient Decent: http://t.co/ih67g3stTl (16 Aug)
• kevin_ushey: @hadleywickham @benjaminlmoore see https://t.co/MMdsX2jOpZ for a start on OSX (16 Aug)
• simplystats: Crowdsourcing resources for the Johns Hopkins Data Science Specialization http://t.co/PAHz9mXKop cc @swcarpentry (16 Aug)
• analyticbridge: sort.data.frame: (This article was first published on Mark van der Loo, and kindly contributed to R-blogg… http://t.co/NpnqDL5bN4 (16 Aug)
• atfmt: @zeynep From a neat talk on open source tools by Matt Davis (@jiffyclub) of Synthicity – slides available here: http://t.co/EU2AvC9E05 (16 Aug)
• vsbuffalo: http://t.co/3mFl9cmt3A is live! #bioinformatics (16 Aug)
• sitepointdotcom: An Introduction to Git Hooks : http://t.co/VkNtrr4a1f (16 Aug)
• moorejh: Our open access 2010 review on #bioinformatics challenges of #GWAS - PDF http://t.co/I8fsdyTKH9 #genomics #machinelearning (15 Aug)
• sjackman: These keyboard shortcuts are indispensable: OS X Mountain Lion: Shortcuts for taking pictures of the screen http://t.co/vrCKMttvcw (15 Aug)
• mxlearn: Introducing QuickML: A machine learning library for Java, including random forests and a hyper-parameter optim… http://t.co/XYyweK6601 (15 Aug)
• DataTau: Playing with Mahout’s Spark Shell: http://t.co/dvVzicFbiz (15 Aug)
• YhatHQ: Machine Learning with Missing Labels: Transductive SVMs | http://t.co/7iXIRyV9AY (15 Aug)
• 0xAX: http://t.co/qSf4YHHyVx… (15 Aug)
• dataJujitsu: Answer by @dataJujitsu to Is there a notebook type of environment for Clojure similar to IPython or R Markdown in R? http://t.co/skkrDHPE67 (15 Aug)
• neuroraf: Psychoacoustics: a comprehensive MATLAB toolbox for auditory testing http://t.co/2Tng6fz0CW (15 Aug)
• kaz_yos: #SICP is still alive http://t.co/7w45Hx0DXI #lisp #scheme #mit http://t.co/5L4MQmsVnR (15 Aug)
• SciPyTip: 29 common beginner Python errors on one page http://t.co/3AC4HrphqU (14 Aug)
• msgbi: How-to: Use IPython Notebook with Apache Spark http://t.co/lG8uKO7lPD (14 Aug)
• UnixToolTip: Richard Stallman’s 1981 presentation to the ACM Conference on Text Processing on EMACS http://t.co/POfYBq2rSY via @estherschindler (14 Aug)
• introspection: Moving from #Matlab matrices to #Numpy arrays—Everything summarized in one cheatsheet \o/ http://t.co/TB4GWvfptZ #Howto #Python (14 Aug)
• stephensenn: @revodavid @chlalanne As far as I am aware only GenStat analyses designed experiments correctly using general balance http://t.co/7dD0uRHDBj (14 Aug)
• thomaslevine: @jeroenhjanssens ls is the first tool that I discuss in my article on parsing PDFs. http://t.co/67elQgEvFh (14 Aug)
• bengoldacre: This is magnificent RT @richardhorton1: Association between body mass index and different cancers, in one picture. http://t.co/a7JDTGMAd7 (14 Aug)
• ericnormand: Racket sounds cool. Macros all the way down and all the way up. And all the left and right!! http://t.co/rBruqy0NI3 (14 Aug)
• RichardEudes: Scagnostics JMP Add-in – A New Way to Explore your Data http://t.co/AvbOHpAkWg #JMP (14 Aug)
• Datumbox: Using Chisquare Statistical Test to perform Feature Selection: http://t.co/7bmmT3b24t #machinelearning #bigdata #nlproc (14 Aug)
• jimbot_: Here’s my latest blog post on creating an interactive discography using R and the Spotify API http://t.co/MzT25Xplzw http://t.co/uZ1LHiJMGg (14 Aug)
• YhatHQ: ggplot v0.6.5 released! | date histograms, geom_pointrange, geom_linerange, geom_dotplot, geom_boxplot | https://t.co/D5kx7aGk7q (14 Aug)
• revodavid: Of 57 statistical techniques, R and Matlab support all 57; SAS 42; Stata 29 and SPSS 20: http://t.co/tdUGFnuDoU #rstats (13 Aug)
• stephensenn: “Quality of Life - The means by which it is hoped to rescue boring drugs from the rubbish dump of history.” G McPearson, Drug Dev Dictionary (13 Aug)
• gvanrossum: Python 2/3 cheatsheet: http://t.co/vhvTIkjA0R (13 Aug)
• jeroenhjanssens: What’s your favorite command-line tool for working with data? Let me know at https://t.co/9e49tHzsGd (13 Aug)
• statalgo: Cosma Shalizi’s notes from http://t.co/acBjmJKZmO on causal graphical models provide a nice overview (see ch. 21-24) http://t.co/sXaBOYkMjw (12 Aug)
• UnixToolTip: Comparing similar operations in sed and awk http://t.co/h9fVlahT6D (12 Aug)
• lintool: Interesting use of chord diagrams: http://t.co/VI9mSZZa5q (Also, the underlying data are interesting…) (12 Aug)
• stephensenn: Paper on cross-over trial in infertility and links to data and code : http://t.co/cLfpN43ZRo (12 Aug)
• erwtokritos: Deep Learning - Crash Course https://t.co/6orPWpjUnh (12 Aug)
• planetclojure: The State of Some Emacs Packages for Clojure Development http://t.co/o4uWhMWCiM (12 Aug)
• Rbloggers: A Conversation with Max Kuhn – The useR! 2014 Interview http://t.co/Ie1CqLeafg #rstats (12 Aug)
• strataconf: Early Release of “#DataScience at the Command Line” by @jeroenhjanssens has been updated with chapters 5, 7 & 8 http://t.co/taNrIwKCZV (12 Aug)
• ethanwhite: Online Python Tutor running inside an IPython Notebook thanks to @pgbovine’s https://t.co/wo6kcyPRmP @fperez_org http://t.co/fxNYdujdEv (12 Aug)
• deanwampler: @atabey_kaygun @avibryant That URL 404s. Is it http://t.co/s5epswTREf? (12 Aug)
• albertocairo: So cool MT @DiegoKuonen: @Ted_Underwood: With apologies to @ResearchMark, an edited version of this popular diagram. http://t.co/IqfuPfmmyH (12 Aug)
• Jose_A_Alonso: A build-library for putting together collections of solutions for math problems. ~ A. Leino http://t.co/Ija1GoZt8Q #Haskell (12 Aug)
• Jose_A_Alonso: Collatz sequence generation performance profiling in Clojure. ~ A. Petrounias @petrounias http://t.co/pAf4qj7kdY #Clojure (11 Aug)
• Atabey_Kaygun: A Computational Introduction to Number Theory and Algebra http://t.co/HHqhibs4e4 (11 Aug)
• Atabey_Kaygun: Data Munging with Perl http://t.co/dzIxvpOFb3 (11 Aug)
• phdpqc: Well, one of my lab (@poisotlab) now has a Beamer theme: https://t.co/con1pBwnMY Plus it’s under the MIT license :P (10 Aug)
• wareFLO: Patient-centered analytics for population health management: data-driven decision making http://t.co/TRs49Mr45m http://t.co/9YdtwlwLiC (10 Aug)
• stefanbache: It’s here: @rstudio ’s #magrittr pipe shortcut Alt + Shift + . http://t.co/EVGzZQqHY8 Happy piping! Thx rstudio! #rstats (10 Aug)
• josephmisiti: Scaling Up Dataframes: http://t.co/uepmhhF30z (9 Aug)
• dgmacarthur: Over 100 geneticists (including me) push back on Nick Wade’s claims about race: http://t.co/rG3vLntrtm Nice work, @Graham_Coop. (9 Aug)
• ethanwhite: If you make graphs in Python and you haven’t tried Seaborn yet, you don’t know what you’re missing. https://t.co/shRVl0g00I (9 Aug)
• hadleywickham: Starting serious work on book about how to write R packages: http://t.co/m1xNQqqT5A. Any & all feedback appreciated :) #rstats (9 Aug)
• freakonometrics: “Twitter, un an après” http://t.co/im8OssLyaI par @Francois_Ronan (ou quatre ans après http://t.co/G7ErQwPt3P par moi) (9 Aug)
• arfon: How long before someone uses this to build a live (reproducible) analysis environment for a paper? https://t.co/FjyWX6u5pz #openscience (8 Aug)
• shiffman: All http://t.co/rFbr8mVZHL examples are now updated to work with p5.js beta release. https://t.co/7vvWiszXs8 @laurmccarthy (8 Aug)
• fperez_org: More #ReproResearch w/ IPython: code/notebooks repo for Nature Genetics (Cancer) paper : http://t.co/Ne0NnYAURV, https://t.co/p3az1mux5V (7 Aug)
• HarlanH: Welcome to p5.js http://t.co/7jJPQpqpGD < the best intro to a Javascript library ever (7 Aug)
• YhatHQ: ŷhat | 10 Books for Data Enthusiasts | http://t.co/hlsp4KYfIA (7 Aug)
• MacDiva: #rstats pkgs: sqldf, forecast, plyr, stringer, a db driver, lubridate, ggplot2, qcc, reshape2, randomForest http://t.co/OXcllvOaAN (7 Aug)
• fonnesbeck: My slides from today’s session on Software for Hierarchical Modeling at #JSM2014 https://t.co/t9KLRirMIJ (7 Aug)
• deevybee: SAS seems to be responding to threat from R by offering free software http://t.co/L91N4rMMnT #statistics (7 Aug)
• stefanjudis: “Image Optimization” - site and github repo listing tools and practices. #perfmatters http://t.co/hzkDIYYYsP (7 Aug)
• EricTopol: The Quantified #Microbiome Self http://t.co/ZciiUXJapQ by @carlzimmer Nice data viz fr @GenomeBiology paper http://t.co/KuU5MUEWKn (7 Aug)
• deleeuw_jan: Simlar to JSS in various respects http://t.co/5TyPLiuUAi (7 Aug)
• daniel_bilar: #dfrws Analyzing Compressed RAM in Mac OS X & Linux http://t.co/C4bt1PGEVw [best paper - congrats @attrc ; slides http://t.co/mgWLh2ocnR ] (7 Aug)
• Hyperion_HQ: Oh, there’s more to @hadleywickham’s grand tour. Linked brushing is there too. #rstats http://t.co/GHQzB95jKw http://t.co/r3eMjxBw4i (7 Aug)
• jmsidhu: Fast-track publishing using the new R markdown – a tutorial and a quick look behind the scenes » G-Forge http://t.co/2d4fDJSbHy (7 Aug)
• mja: Post-stratification (“Mister P”) is needed to translate trial results from clinical samples to patient populations. http://t.co/YOCTz63HG9 (6 Aug)
• johncvillanueva: RT @msgbi: Handle Your Email Like a Ninja Warrior http://t.co/r7vQqjTSJg (6 Aug)
• renkun_ken: Introducing #rlist 0.3: fuzzy filtering and searching, and List environment. #rstats http://t.co/eCiLzWBnf7 @timelyportfolio (6 Aug)
• leinreleases: Leiningen 2.4.3 is out, with important SSL fIxes. Please upgrade ASAP. https://t.co/1gpSzZWLUc (6 Aug)
• arnicas: Cookbook-style styling help for ggplot2. http://t.co/wZARwefcpu from @zevross (6 Aug)
• ptaoussanis: A 133-line C chess program+AI http://t.co/0EVZgDfOT2 Check out the source at the bottom of the page: fascinating stuff! (5 Aug)
• RevoAndrie: #rstats is full of surprises. Is it possible to push/pull variables between two instances of R?http://t.co/zi4wPEjuyL (5 Aug)
• zentree: @mja Some papers by Cullis and Smith and Thompson http://t.co/bPQhuPuph0. Karin Meyer wrote a good review. http://t.co/bCTS27ln7h (5 Aug)
• 0xAX: The bash guide - http://t.co/Aa88GqKKN0 #bash (5 Aug)
• poezn: CSV Fingerprints: Metadata spreadsheet viz to quickly “debug” CSVs by @vicapow http://t.co/FVzD7xD5Ao /very much /also cc @trifacta (5 Aug)
• YhatHQ: ŷhat | Neural networks and a dive into Julia | http://t.co/OIoHcL0gEE (4 Aug)
• visnut: Video competition details at http://t.co/yrdgxNTGMI. Please spread the word. (4 Aug)
• newsycombinator: GNU datamash http://t.co/rK3wSwZNNg (4 Aug)
• xprimexinverse: Interesting to compare, say, Singular Value Decomposition code from Numerical Recipes to LAPACK src code. http://t.co/31iIxjAiUr (3 Aug)
• henryhammond92: Introducing KCBO, a Bayesian Data Analysis Toolkit in #Python. http://t.co/cnyQhqmFqw #Bayesian #dataanalysis #pystats (3 Aug)
• yoavram: Cash in with #IPycache and start caching the results of IPython cells. Thank you @cyrillerossant ! http://t.co/e6ekPSEgNq (3 Aug)
• paulosuzart: http://t.co/28YqPqjNBK 5 Lessons Learned Writing a Clojure Web App #clojure (3 Aug)
• headinthebox: @CompSciFact Note these will be rerun as a “real” MOOC (i.e. with homework, quizzes, and optional certification) as https://t.co/FMz2qgHSW6. (3 Aug)
• blattnerma: The ML tool of choice: @graphlabteam (3 Aug)
• HNTweets: The Descent to C: http://t.co/vldDU1A0SQ Comments: https://t.co/yWiHvdxhEH (3 Aug)
• jessicamckellar: Great Python internals post by @akaptur on test coverage tools being thwarted by compiler optimizations: https://t.co/ChkBaCnQV2 (2 Aug)
• followthedata: Calibrating a classifier with isotonic regression http://t.co/4SXV7HL0U2 (2 Aug)
• rasbt: Interested to switch to Python for your “data science”? Here is a list of libraries you want to check out: https://t.co/H669KRzuRx (2 Aug)
• racketlang: Racket v6.1 is out! No more # values, plumbers for registering flush callbacks, and more. http://t.co/ZY0hZ01KU6 (2 Aug)
• JelteWicherts: Outlier Removal and the Relation with Reporting Errors and Quality of Psychological Research @PLOSONE http://t.co/LZ3RVHGA26 (2 Aug)
• arzukanik: #statistical #aspects #randomization #blinding #clinicaltrials #fulltext #free @medicres http://t.co/oQhHJV8Mb5 via @SlideShare (2 Aug)
• druvus: Bias correction for selecting the minimal-error classifier from many machine learning models http://t.co/Z1Ue4CcUoQ (2 Aug)
• DataTau: Introduction to Gaussian Processes: http://t.co/W3BxfsLzCu (2 Aug)
• drago_carlo: Data Science with Python http://t.co/v8m8GNaVDC @kdnuggets @Prismatic #DataScience #Python (2 Aug)
• ApacheMesos: “Mesos, #Docker, and Chef” at @RelateIQ http://t.co/bNAGV2D6NS (1 Aug)
• kdnuggets: Learn about Apache #Spark (100x Faster than #Hadoop MapReduce) http://t.co/NHz0UK9wYs (1 Aug)
• kdnuggets: OpenML, a novel ecosystem for #MachineLearning experiments on @github - like Kaggle, but with collaboration instead of competition (1 Aug)
• kdnuggets: OpenML: networked science in #MachineLearning - the paper http://t.co/tY0aAV1Uj5 (1 Aug)
• plotlygraphs: Extracting the @ImpactFactor (proxy for relative importance) for science journals http://t.co/XRMWqB4yl2 http://t.co/99ERjr8tt5 (1 Aug)
• Persontyle: Machine Learning -The Art and Science of Algorithms that Make Sense of Data. By Peter Flach https://t.co/W8EYUqCtpf http://t.co/BmB0tTbmiW (1 Aug)
• RPsychologist: New #d3js visualization: Interpreting Correlations http://t.co/8GghizDOOg #dataviz (1 Aug)
• analyticbridge: Plot with ggplot2, interact, collaborate, and share online: (This article was first published on bayesian… http://t.co/elcf8YGXVK (1 Aug)
• ogrisel: To Distribute, or Not to Distribute http://t.co/S1ZiHwYq5n #machinelearning (1 Aug)