Here is the latest bag of tweets^*, which covers February 2015.

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

• YhatHQ: Loving these visuals. This one is nobel laureates by time and category https://t.co/7WoMcR76g9 http://t.co/bVGMsbKlXT (28 Feb)
• DiegoKuonen: John Snow & Google Maps @freakonometrics > http://t.co/c56yDhrqY6 #DataViz #RStats #ggmap #ggplot2 #Maps http://t.co/ulvGI83yyu (28 Feb)
• bruce_swihart: @causalityblog @JennyBryan @chlalanne Might be easier to consider with a github repo r package: https://t.co/2xcmV1ABoV (28 Feb)
• ramhiser: TIL about M-x magit-blame-mode in #emacs. Mind blown. http://t.co/gbo9StY7MA #git (28 Feb)
• cyrillerossant: IPython 3.0 about to be released… = my 100 cookbook recipes broken! PR here already https://t.co/mxiaGdITkv (28 Feb)
• YhatHQ: Introduction to #python Economics Course - lectures by Kevin Sheppard of Oxford | http://t.co/hOpu9sdPZR (28 Feb)
• UnixToolTip: Remove duplicate lines: awk ‘!a[$0]++’ from http://t.co/nD43nz8Ju4 (28 Feb)
• arnicas: Fascinating email mining tool - http://t.co/pTfLZuTKKb (28 Feb)
• msgbi: How gzip uses Huffman coding - Julia Evans http://t.co/dmuqgUiCtp #cs394 (27 Feb)
• msgbi: Putting Apache Kafka To Use: A Practical Guide to Building a Stream Data Platform (Part 1) | Confluent http://t.co/fkwN3goSiv #data394 (27 Feb)
• bio_mediocre: Awesome ipython notebook about heatmaps #python #dataviz http://t.co/zx6tHstUmV (27 Feb)
• andyteucher: #rstats tip: after rendering a pdf from rmarkdown, run extrafont::embed_fonts() on the pdf so fonts travel with your doc! (27 Feb)
• abresler: Some amazing #rstats-ness from @minebocek exploring #art #data via #ggplot2 https://t.co/8T9nR04ph5 // warning PDF (27 Feb)
• TlkngMchns: Tensor factorization methods for learning latent variable models. Not only a tongue twister but a technique in ML! http://t.co/yJlcqkumHu (27 Feb)
• fogus: “We have begun writing a complete pattern language for object-oriented programming.” –> http://t.co/Y6j7ItCrnr (27 Feb)
• hadleywickham: If you read one presentation about improving your #rstats workflow, it should be https://t.co/50VqiBkNBB by @jennybryan (27 Feb)
• albertocairo: New online course: #dataviz and #infographics with D3.js http://t.co/C7rywZR8oA with @alignedleft http://t.co/DLVLPwIius (26 Feb)
• modernscientist: @potatowire jq is awesome. Took me a bit to wrap my head around how it works, but very powerful. https://t.co/K0DSfpe4Xh (26 Feb)
• lexnederbragt: Data management to support reproducible research. #arXiv http://t.co/XHO9qSEW9k (25 Feb)
• reichlab: RT @BatesDmbates: @juliabloggers @Rbloggers Just posted http://t.co/3jYogRsIz4 on running an embedded #rstats instance in #julialang (25 Feb)
• lexnederbragt: @thorburn_fiona @mkramer Both switching to Mac or adjusting your PC possible (see http://t.co/0sNNdBKqRf) (25 Feb)
• arnicas: This nice explanation of word2vec discusses use cases: http://t.co/1h4How0WxD #ml #nlp (25 Feb)
• modernscientist: @tonyfischetti @jseabold In your tmux.conf, after loading plugin: set -g @resurrect-processes ‘R ipython ssh’ (25 Feb)
• thosjleeper: I’m working on updating the rio package for better #rstats data I/O. Suggestions and feedback are welcome. https://t.co/RUJI1Ujxla (24 Feb)
• JohnsonRob: I just discovered this great intro to markdown: http://t.co/jovEzomNeO #authorea #openscience #ResBaz (24 Feb)
• twiecki: #PyMC 3 has a new home: https://t.co/r4UJiCxxXd as well as the a first documentation draft http://t.co/dHGK3jfNZ4 #bayesian @fonnesbeck (24 Feb)
• msgbi: http://t.co/8t6lWTC28B A Gentle Introduction to Algorithm Complexity Analysis #ai394 (23 Feb)
• BestGit: How to #merge multiple #Git repositories into one retaining full history? Read about it in my blog: http://t.co/RK8PikQDqH #Git #development (23 Feb)
• Persontyle: An introduction on how to make beautiful charts with #rstats & ggplot2 http://t.co/tdmR0wcPpT #dataviz #datascience http://t.co/jCiiqRWbaA (22 Feb)
• jaykreps: Timeseries database @druidio is now Apache 2 licensed. https://t.co/y7ylMdN6TT (22 Feb)
• treycausey: ICYMI, there are calibration plots in scikit-learn now. If you work on win probability models, you need this. http://t.co/1OsjvXKbAX (22 Feb)
• rolandbouman: The debunking handbook: http://t.co/W6yzB5VL4C Essential reading. (22 Feb)
• RDub2: My answer to What is an intuitive explanation of a decision tree? http://t.co/B4BDV6mpVW (21 Feb)
• facetjs: facet.js is open under Apache 2 license. http://t.co/fdxUtyoVh0 More docs, and tutorials coming soon. (21 Feb)
• berndweiss: discovered the option output.lines for #knitr http://t.co/nsFnLg4tVx saved my day! #rstats (21 Feb)
• tmcw: slides from my talk tonight at @dcjavascript: http://t.co/bWSJZwk7Lq resources: https://t.co/jVqknndQ6l http://t.co/JeB4lVn0vF (20 Feb)
• iand: <http2 explained http://t.co/xSTcEbYSzZ (18 Feb)
• DrBunsen: Neat project from @IonicaBizau—git-stat, a local git contributions calendar: https://t.co/R8FnmEs8dm http://t.co/qNgKv7S2t6 (18 Feb)
• randal_olson: Letter frequency in different languages. #dataviz Source: http://t.co/a2sto57Wvv http://t.co/3imZeGdEhU (17 Feb)
• rasbt: Some asked how the decision regions were plotted: I uploaded a little convenience function: https://t.co/ulAtjuvvhE http://t.co/kcKTZ6m96n (15 Feb)
• rstudiotips: Use RStudio on the web without running your own server with unofficial Amazon EC2 AMIs by @louisaslett: http://t.co/9v442fY2Wt #rstats (14 Feb)
• tdhopper: Protip: Delete Words on iTerm2 http://t.co/qJbbPtxm9c (14 Feb)
• aflyax: Lots of #MachineLearning lectures: http://t.co/cFXt5Bfat2 (13 Feb)
• DataTau: Principal component analysis explained visually: http://t.co/yw8xtKaLs5 (13 Feb)
• StatModeling: New post: Stan 2.6.0 Released http://t.co/eKHgYbWrA9 (12 Feb)
• rdpeng: New paper with @jtleek on reproducible research. http://t.co/Kp9EZcWXgK (11 Feb)
• moorejh: #datascience #julialang RT @newsycbot: Quantitative Economics with #Julia [pdf] http://t.co/CEhVLSNOFP (10 Feb)
• CompSciFact: Algorithms from The Book http://t.co/vORS5Sw6Wt (10 Feb)
• fonnesbeck: @WillingCarol @fhwehbe Thanks. There wasn’t any IPython computing for the talk, but the slides are here: https://t.co/KHuTBzkEAb (10 Feb)
• mja: DISSECT: new massive genomic analysis tool for mixed linear models, PCA, GWAS from @roslininstitute http://t.co/iiMFOo7SLC (9 Feb)
• rasbt: Jealous of everyone getting started with ML in Python. Now, there is an O’Reilly book for that :) “@sarah_guido: http://t.co/CPSGdqvqQ1” (9 Feb)
• vdmitriyev: Made a tiny #python script that produces world clouds based on multiple fonts and masks, inspired by @rasbt https://t.co/YFiwd0b8dx #fw (9 Feb)
• rasbt: My little IPython/pandas notebook on “Tips and Tricks for Encoding Categorical Features in Classification Tasks”: http://t.co/AM4WiPkWMv (9 Feb)
• treycausey: Awesome walkthrough of Bayes factors with bonus Shiny apps to visualize. | What does a Bayes factor feel like? http://t.co/80VdDjju5k (8 Feb)
• randal_olson: Looking for serious discussion of #dataviz design, guides, tutorials, etc.? Head on over to http://t.co/ETGcejeYPB (8 Feb)
• DrBunsen: Great tips on how to use vim as an IDE from @yogsototh: http://t.co/iDCeGoX7Pg Love the header image! http://t.co/nbE9sB5zX4 (8 Feb)
• wattenberg: Radial plots are so pretty yet so often the wrong choice. See @albertocairo’s excellent redesign: http://t.co/nA8k0rYWbP (7 Feb)
• msgbi: moreutils: basic Unix tools that ought to be better known http://t.co/TVMjwJbNpT (7 Feb)
• louisdorard: I’m trying out Alternote beta preview (note-taking app with Evernote integration) Looks promising @AlternoteApp http://t.co/v82qmdZ2og (7 Feb)
• mfenner: More than 50 PLOS papers mention Github in data availability statement introduced March 2014, slightly more than PDB: http://t.co/J3SLtyK8Hp (7 Feb)
• hadleywickham: @rtelmore nope, at http://t.co/AnI8yiO7TX (6 Feb)
• YvesMulkers: Reproducibility with Revolution R Open and the checkpoint package http://t.co/HUJzKcEXA7 (5 Feb)
• rmflight: .@JennyBryan here it is: https://t.co/RREs6AOg7a (5 Feb)
• revodavid: Huge. RT @hadleywickham: haven: a package for loading SAS, Spss & Stata files into #rstats - https://t.co/Zulg80pBaT (3 Feb)
• revodavid: History revealed in analysis of Paris street orientations: beautiful #DataViz done with R by @datagistips http://t.co/kwhCnRnQOA #rstats (3 Feb)
• aflyax: #databases and #sql on Software Carpentry: http://t.co/bv7nQLQJqb (2 Feb)
• aflyax: Programming with Python on Software Carpentry: http://t.co/MXMOdi7zZN #python #DataAnalytics (2 Feb)
• aflyax: Gadfly, Splats, and Layers http://t.co/byksVMdpmE via @timothyrenner (2 Feb)
• aflyax: “@mariarmestre: Doing linear regression in a Bayesian framework using pymc: http://t.co/Bbn8LwPmc3” (2 Feb)