├── README.md ├── data-science.opml ├── frequency.py └── generate_opml.py /README.md: -------------------------------------------------------------------------------- 1 | # Data science blogs 2 | A curated list of data science blogs 3 | * A Blog From a Human-engineer-being http://www.erogol.com/ [(RSS)] (http://www.erogol.com/feed/) 4 | * Aakash Japi http://aakashjapi.com/ [(RSS)] (http://logicx24.github.io/feed.xml) 5 | * Advanced Analytics & R http://advanceddataanalytics.net/ [(RSS)] (http://advanceddataanalytics.net/feed/) 6 | * Adventures in Data Land http://blog.smola.org [(RSS)] (http://blog.smola.org/rss) 7 | * Agile Data Science http://blog.sense.io/ [(RSS)] (http://blog.sense.io/rss/) 8 | * Ahmed El Deeb https://medium.com/@D33B [(RSS)] (https://medium.com/feed/@D33B) 9 | * Airbnb Data blog http://nerds.airbnb.com/data/ [(RSS)] (http://nerds.airbnb.com/feed/) 10 | * Alex Castrounis | InnoArchiTech http://www.innoarchitech.com/ [(RSS)] (http://www.innoarchitech.com/feed.xml) 11 | * Alex Perrier http://alexperrier.github.io/ [(RSS)] (http://alexperrier.github.io/feed.xml) 12 | * Algobeans | Data Analytics Tutorials & Experiments for the Layman https://algobeans.com [(RSS)] (https://algobeans.com/feed/) 13 | * Analytics Vidhya http://www.analyticsvidhya.com/blog/ [(RSS)] (http://feeds.feedburner.com/AnalyticsVidhya) 14 | * Andreas Müller http://peekaboo-vision.blogspot.com/ [(RSS)] (http://peekaboo-vision.blogspot.com/atom.xml) 15 | * Andrej Karpathy blog http://karpathy.github.io/ [(RSS)] (http://karpathy.github.io/feed.xml) 16 | * Andrew Brooks http://brooksandrew.github.io/simpleblog/ [(RSS)] (http://brooksandrew.github.io/simpleblog/feed.xml) 17 | * Andrey Kurenkov http://www.andreykurenkov.com/writing/ [(RSS)] (http://www.andreykurenkov.com/writing/feed.xml/) 18 | * Anton Lebedevich's Blog http://mabrek.github.io/ [(RSS)] (http://mabrek.github.io/feed.xml) 19 | * Avi Singh https://avisingh599.github.io/ [(RSS)] (http://avisingh599.github.io/feed.xml) 20 | * Beautiful Data http://beautifuldata.net/ [(RSS)] (http://beautifuldata.net/feed/) 21 | * Beckerfuffle http://mdbecker.github.io/ [(RSS)] (http://mdbecker.github.io/atom.xml) 22 | * Becoming A Data Scientist http://www.becomingadatascientist.com/ [(RSS)] (http://www.becomingadatascientist.com/feed/) 23 | * Ben Bolte's Blog http://benjaminbolte.com/ml/ [(RSS)] (http://benjaminbolte.com/ml/) 24 | * Ben Frederickson http://www.benfrederickson.com/blog/ [(RSS)] (http://www.benfrederickson.com/atom.xml) 25 | * Big-Ish Data http://bigishdata.com/ [(RSS)] (http://bigishdata.com/feed/) 26 | * Blog on neural networks http://yerevann.github.io/ [(RSS)] (http://yerevann.github.io/atom.xml) 27 | * Blogistic RegressionAbout Projects http://d10genes.github.io/blog/ [(RSS)] (http://d10genes.github.io/blog/feed.xml) 28 | * blogR | R tips and tricks from a scientist https://drsimonj.svbtle.com/ [(RSS)] (https://drsimonj.svbtle.com/) 29 | * Brain of mat kelcey http://matpalm.com/blog/ [(RSS)] (http://matpalm.com/blog/feed) 30 | * Bugra Akyildiz http://bugra.github.io/ [(RSS)] (http://bugra.github.io/feeds/all.atom.xml) 31 | * Building Babylon https://building-babylon.net/ [(RSS)] (http://building-babylon.net/feed/) 32 | * Carl Shan http://carlshan.com/ [(RSS)] (http://feeds.feedburner.com/carlshan) 33 | * Chris Stucchio https://www.chrisstucchio.com/blog/index.html [(RSS)] (http://www.chrisstucchio.com/blog/atom.xml) 34 | * Christophe Bourguignat https://medium.com/@chris_bour [(RSS)] (https://medium.com/feed/@chris_bour) 35 | * Christopher Nguyen https://medium.com/@ctn [(RSS)] (https://medium.com/feed/@ctn) 36 | * Cloudera Data Science Posts http://blog.cloudera.com/blog/category/data-science/ [(RSS)] (http://blog.cloudera.com/blog/category/data-science/feed/) 37 | * colah's blog http://colah.github.io/archive.html [(RSS)] (http://colah.github.io/rss.xml) 38 | * Cortana Intelligence and Machine Learning Blog https://blogs.technet.microsoft.com/machinelearning/ [(RSS)] (http://blogs.technet.com/b/machinelearning/rss.aspx) 39 | * Daniel Forsyth http://www.danielforsyth.me/ [(RSS)] (http://www.danielforsyth.me/rss/) 40 | * Daniel Homola http://danielhomola.com/category/blog/ [(RSS)] (http://danielhomola.com/feed/) 41 | * Daniel Nee http://danielnee.com [(RSS)] (http://danielnee.com/?feed=rss2) 42 | * Data Based Inventions http://datalab.lu/ [(RSS)] (http://datalab.lu/atom.xml) 43 | * Data Labs http://blog.insightdatalabs.com/ [(RSS)] (http://blog.insightdatalabs.com/rss/) 44 | * Data Miners Blog http://blog.data-miners.com/ [(RSS)] (http://blog.data-miners.com/feeds/posts/default?alt=rss) 45 | * Data Mining Research http://www.dataminingblog.com/ [(RSS)] (http://feeds.feedburner.com/dataminingblog) 46 | * Data Mining: Text Mining, Visualization and Social Media http://datamining.typepad.com/data_mining/ [(RSS)] (http://datamining.typepad.com/data_mining/atom.xml) 47 | * Data Piques http://blog.ethanrosenthal.com/ [(RSS)] (http://blog.ethanrosenthal.com/feeds/all.atom.xml) 48 | * Data School http://www.dataschool.io/ [(RSS)] (http://www.dataschool.io/rss/) 49 | * Data Science 101 http://101.datascience.community/ [(RSS)] (http://101.datascience.community/feed/) 50 | * Data Science @ Facebook https://research.facebook.com/blog/datascience/ [(RSS)] (https://research.facebook.com/blog/datascience/) 51 | * Data Science Insights http://www.datasciencebowl.com/data-science-insights/ [(RSS)] (http://www.datasciencebowl.com/feed/) 52 | * Data Science Tutorials https://codementor.io/data-science/tutorial [(RSS)] (https://www.codementor.io/data-science/tutorial/feed) 53 | * Data Science Vademecum http://datasciencevademecum.wordpress.com/ [(RSS)] (http://datasciencevademecum.wordpress.com/feed/) 54 | * Dataaspirant http://dataaspirant.com/ [(RSS)] (http://dataaspirant.wordpress.com/feed/) 55 | * Dataclysm http://blog.okcupid.com/ [(RSS)] (http://blog.okcupid.com/index.php/feed/) 56 | * DataGenetics http://datagenetics.com/blog.html [(RSS)] (http://datagenetics.com/feed/rss.xml) 57 | * Dataiku https://www.dataiku.com/blog/ [(RSS)] (http://www.dataiku.com/feed.xml) 58 | * DataKind http://www.datakind.org/blog [(RSS)] (http://feeds.feedburner.com/DataKin) 59 | * DataLook http://blog.datalook.io/ [(RSS)] (http://blog.datalook.io/feed/) 60 | * Datanice https://datanice.wordpress.com/ [(RSS)] (https://datanice.wordpress.com/feed/) 61 | * Dataquest Blog https://www.dataquest.io/blog/ [(RSS)] (https://www.dataquest.io/blog/atom.xml) 62 | * DataRobot http://www.datarobot.com/blog/ [(RSS)] (http://www.datarobot.com/feed/) 63 | * Datascope http://datascopeanalytics.com/blog [(RSS)] (http://datascopeanalytics.com/rss) 64 | * DatasFrame http://tomaugspurger.github.io/ [(RSS)] (http://tomaugspurger.github.io/feeds/all.rss.xml) 65 | * David Mimno http://www.mimno.org/ [(RSS)] (http://mimno.infosci.cornell.edu/b/feed.xml) 66 | * Dayne Batten http://daynebatten.com [(RSS)] (http://daynebatten.com/feed/) 67 | * Deep Learning http://deeplearning.net/blog/ [(RSS)] (http://deeplearning.net/feed/) 68 | * Deepdish http://deepdish.io/ [(RSS)] (http://deepdish.io/atom.xml) 69 | * Delip Rao http://deliprao.com/ [(RSS)] (http://deliprao.com/feed) 70 | * DENNY'S BLOG http://blog.dennybritz.com/ [(RSS)] (http://blog.dennybritz.com/feed/) 71 | * District Data Labs http://districtdatalabs.silvrback.com/ [(RSS)] (https://districtdatalabs.silvrback.com/feed) 72 | * Diving into data https://blog.datadive.net/ [(RSS)] (http://blog.datadive.net/feed/) 73 | * Domino Data Lab's blog http://blog.dominodatalab.com/ [(RSS)] (http://blog.dominodatalab.com/rss/) 74 | * Dr. Randal S. Olson http://www.randalolson.com/blog/ [(RSS)] (http://www.randalolson.com/feed/) 75 | * Drew Conway https://medium.com/@drewconway [(RSS)] (https://medium.com/feed/@drewconway) 76 | * Dustin Tran http://dustintran.com/blog/ [(RSS)] (http://dustintran.com/blog/rss/) 77 | * Eder Santana https://edersantana.github.io/blog.html [(RSS)] (http://edersantana.github.io/feed.xml) 78 | * Edwin Chen http://blog.echen.me [(RSS)] (http://blog.echen.me/feeds/all.rss.xml) 79 | * EFavDB http://efavdb.com/ [(RSS)] (http://efavdb.com/feed/) 80 | * Emilio Ferrara, Ph.D. http://www.emilio.ferrara.name/ [(RSS)] (http://www.emilio.ferrara.name/feed/) 81 | * Entrepreneurial Geekiness http://ianozsvald.com/ [(RSS)] (http://ianozsvald.com/feed/) 82 | * Eric Jonas http://ericjonas.com/archives.html [(RSS)] (http://ericjonas.com/archives.html) 83 | * Eric Siegel http://www.predictiveanalyticsworld.com/blog [(RSS)] (http://feeds.feedburner.com/predictiveanalyticsworld/GXRy) 84 | * Erik Bern http://erikbern.com [(RSS)] (http://erikbern.com/feed/) 85 | * ERIN SHELLMAN http://www.erinshellman.com/ [(RSS)] (http://www.erinshellman.com/feed/) 86 | * Eugenio Culurciello http://culurciello.github.io/ [(RSS)] (http://culurciello.github.io/feed.xml) 87 | * Fabian Pedregosa http://fa.bianp.net/ [(RSS)] (http://fa.bianp.net/blog/feed/) 88 | * Fast Forward Labs http://blog.fastforwardlabs.com/ [(RSS)] (http://blog.fastforwardlabs.com/rss) 89 | * FastML http://fastml.com/ [(RSS)] (http://fastml.com/atom.xml) 90 | * Florian Hartl http://florianhartl.com/ [(RSS)] (http://florianhartl.com/feed/) 91 | * FlowingData http://flowingdata.com/ [(RSS)] (http://flowingdata.com/feed/) 92 | * Full Stack ML http://fullstackml.com/ [(RSS)] (http://fullstackml.com/feed/) 93 | * GAB41 http://www.lab41.org/gab41/ [(RSS)] (http://www.lab41.org/feed/) 94 | * Garbled Notes http://www.chioka.in/ [(RSS)] (http://www.chioka.in/feed.xml) 95 | * Greg Reda http://www.gregreda.com/blog/ [(RSS)] (http://www.gregreda.com/feeds/all.atom.xml) 96 | * Hyon S Chu https://medium.com/@adailyventure [(RSS)] (https://medium.com/feed/@adailyventure) 97 | * i am trask http://iamtrask.github.io/ [(RSS)] (http://iamtrask.github.io/feed.xml) 98 | * I Quant NY http://iquantny.tumblr.com/ [(RSS)] (http://iquantny.tumblr.com/rss) 99 | * inFERENCe http://www.inference.vc/ [(RSS)] (http://www.inference.vc/rss/) 100 | * Insight Data Science https://blog.insightdatascience.com/ [(RSS)] (https://blog.insightdatascience.com/feed) 101 | * INSPIRATION INFORMATION http://myinspirationinformation.com/ [(RSS)] (http://myinspirationinformation.com/feed/) 102 | * Ira Korshunova http://irakorshunova.github.io/ [(RSS)] (http://irakorshunova.github.io/feed.xml) 103 | * I’m a bandit https://blogs.princeton.edu/imabandit/ [(RSS)] (https://blogs.princeton.edu/imabandit/feed/) 104 | * Jason Toy http://www.jtoy.net/ [(RSS)] (http://jtoy.net/atom.xml) 105 | * Jeremy D. Jackson, PhD http://www.jeremydjacksonphd.com/ [(RSS)] (http://www.jeremydjacksonphd.com/?feed=rss2) 106 | * Jesse Steinweg-Woods https://jessesw.com/ [(RSS)] (https://jessesw.com/feed.xml) 107 | * Joe Cauteruccio http://www.joecjr.com/ [(RSS)] (http://www.joecjr.com/feed/) 108 | * John Myles White http://www.johnmyleswhite.com/ [(RSS)] (http://www.johnmyleswhite.com/feed/) 109 | * John's Soapbox http://joschu.github.io/ [(RSS)] (http://joschu.github.io/feed.xml) 110 | * Jonas Degrave http://317070.github.io/ [(RSS)] (http://317070.github.io/feed.xml) 111 | * Joy Of Data http://www.joyofdata.de/blog/ [(RSS)] (http://www.joyofdata.de/blog/feed/) 112 | * Julia Evans http://jvns.ca/ [(RSS)] (http://jvns.ca/atom.xml) 113 | * KDnuggets http://www.kdnuggets.com/ [(RSS)] (http://feeds.feedburner.com/kdnuggets-data-mining-analytics) 114 | * Keeping Up With The Latest Techniques http://colinpriest.com/ [(RSS)] (http://colinpriest.com/feed/) 115 | * Kenny Bastani http://www.kennybastani.com/ [(RSS)] (http://www.kennybastani.com/feeds/posts/default?alt=rss) 116 | * Kevin Davenport http://kldavenport.com/ [(RSS)] (http://kldavenport.com/feed/) 117 | * kevin frans http://kvfrans.com/ [(RSS)] (http://kvfrans.com/rss/) 118 | * korbonits | Math ∩ Data http://korbonits.github.io/ [(RSS)] (http://korbonits.github.io/feed.xml) 119 | * Large Scale Machine Learning http://bickson.blogspot.com/ [(RSS)] (http://bickson.blogspot.com/feeds/posts/default) 120 | * LATERAL BLOG https://blog.lateral.io/ [(RSS)] (https://blog.lateral.io/feed/) 121 | * Lazy Programmer http://lazyprogrammer.me/ [(RSS)] (http://lazyprogrammer.me/feed/) 122 | * Learn Analytics Here https://learnanalyticshere.wordpress.com/ [(RSS)] (https://learnanalyticshere.wordpress.com/feed/) 123 | * LearnDataSci http://www.learndatasci.com/ [(RSS)] (http://www.learndatasci.com/feed/) 124 | * Learning With Data http://learningwithdata.com/ [(RSS)] (http://learningwithdata.com/rss_feed.xml) 125 | * Life, Language, Learning http://daoudclarke.github.io/ [(RSS)] (http://daoudclarke.github.io/atom.xml) 126 | * Louis Dorard http://www.louisdorard.com/blog/ [(RSS)] (http://www.louisdorard.com/blog?format=rss) 127 | * M.E.Driscoll http://medriscoll.com/ [(RSS)] (http://medriscoll.com/rss) 128 | * Machinalis http://www.machinalis.com/blog [(RSS)] (http://www.machinalis.com/blog/feeds/rss/) 129 | * Machine Learning https://charlesmartin14.wordpress.com/ [(RSS)] (http://charlesmartin14.wordpress.com/feed/) 130 | * Machine Learning (Theory) http://hunch.net/ [(RSS)] (http://hunch.net/?feed=rss2) 131 | * Machine Learning and Data Science http://alexhwoods.com/blog/ [(RSS)] (http://alexhwoods.com/feed/) 132 | * Machine Learning Mastery http://machinelearningmastery.com/blog/ [(RSS)] (http://machinelearningmastery.com/feed/) 133 | * Machine Learning, etc http://yaroslavvb.blogspot.com [(RSS)] (http://yaroslavvb.blogspot.com/feeds/posts/default) 134 | * Machine Learning, Maths and Physics https://mlopezm.wordpress.com/ [(RSS)] (https://mlopezm.wordpress.com/feed/) 135 | * Machined Learnings http://www.machinedlearnings.com/ [(RSS)] (http://www.machinedlearnings.com/feeds/posts/default) 136 | * MAPPING BABEL https://jack-clark.net/ [(RSS)] (https://jack-clark.net/feed/) 137 | * MAPR Blog https://www.mapr.com/blog [(RSS)] (https://www.mapr.com/bigdata.xml) 138 | * MAREK REI http://www.marekrei.com/blog/ [(RSS)] (http://www.marekrei.com/blog/feed/) 139 | * MARGINALLY INTERESTING http://blog.mikiobraun.de/ [(RSS)] (http://feeds.feedburner.com/MarginallyInteresting) 140 | * Math ∩ Programming http://jeremykun.com/ [(RSS)] (http://jeremykun.wordpress.com/feed/) 141 | * Matthew Rocklin http://matthewrocklin.com/blog/ [(RSS)] (http://matthewrocklin.com/blog/atom.xml) 142 | * Melody Wolk http://melodywolk.com/projects/ [(RSS)] (http://melodywolk.com/feed/) 143 | * Mic Farris http://www.micfarris.com/ [(RSS)] (http://www.micfarris.com/feed/) 144 | * Mike Tyka http://mtyka.github.io/ [(RSS)] (http://mtyka.github.io//feed.xml) 145 | * minimaxir | Max Woolf's Blog http://minimaxir.com/ [(RSS)] (http://minimaxir.com/rss.xml) 146 | * Mirror Image https://mirror2image.wordpress.com/ [(RSS)] (http://mirror2image.wordpress.com/feed/) 147 | * Mitch Crowe http://www.dataphoric.com/ [(RSS)] (http://www.dataphoric.com/feed.xml) 148 | * MLWave http://mlwave.com/ [(RSS)] (http://mlwave.com/feed/) 149 | * Models are illuminating and wrong https://peadarcoyle.wordpress.com/ [(RSS)] (http://peadarcoyle.wordpress.com/feed/) 150 | * Moonshots http://jxieeducation.com/ [(RSS)] (http://jxieeducation.com/feed.xml) 151 | * Mourad Mourafiq http://mourafiq.com/ [(RSS)] (http://mourafiq.com/atom.xml) 152 | * My thoughts on Data science, predictive analytics, Python http://shahramabyari.com/ [(RSS)] (http://shahramabyari.com/feed/) 153 | * Natural language processing blog http://nlpers.blogspot.fr/ [(RSS)] (http://nlpers.blogspot.com/feeds/posts/default) 154 | * Neil Lawrence http://inverseprobability.com/blog.html [(RSS)] (http://inverseprobability.com/rss.xml) 155 | * NLP and Deep Learning enthusiast http://camron.xyz/ [(RSS)] (http://camron.xyz/index.php/feed/) 156 | * no free hunch http://blog.kaggle.com/ [(RSS)] (http://blog.kaggle.com/feed/) 157 | * Nuit Blanche http://nuit-blanche.blogspot.com/ [(RSS)] (http://nuit-blanche.blogspot.com/feeds/posts/default) 158 | * Number 2147483647 https://no2147483647.wordpress.com/ [(RSS)] (http://no2147483647.wordpress.com/feed/) 159 | * On Machine Intelligence https://aimatters.wordpress.com/ [(RSS)] (https://aimatters.wordpress.com/feed/) 160 | * Opiate for the masses Data is our religion. http://opiateforthemass.es/ [(RSS)] (http://opiateforthemass.es/feed.xml) 161 | * p-value.info http://www.p-value.info/ [(RSS)] (http://www.p-value.info/feeds/posts/default) 162 | * Pete Warden's blog http://petewarden.com/ [(RSS)] (http://feeds.feedburner.com/typepad/petewarden) 163 | * Plotly Blog http://blog.plot.ly/ [(RSS)] (http://blog.plot.ly/rss) 164 | * Probably Overthinking It http://allendowney.blogspot.ca/ [(RSS)] (http://allendowney.blogspot.com/feeds/posts/default) 165 | * Prooffreader.com http://www.prooffreader.com [(RSS)] (http://www.prooffreader.com/feeds/posts/default) 166 | * ProoffreaderPlus http://prooffreaderplus.blogspot.ca/ [(RSS)] (http://prooffreaderplus.blogspot.ca/feeds/posts/default) 167 | * Publishable Stuff http://www.sumsar.net/ [(RSS)] (http://www.sumsar.net/atom.xml) 168 | * PyImageSearch http://www.pyimagesearch.com/ [(RSS)] (http://feeds.feedburner.com/Pyimagesearch) 169 | * Pythonic Perambulations https://jakevdp.github.io/ [(RSS)] (http://jakevdp.github.com/atom.xml) 170 | * quintuitive http://quintuitive.com/ [(RSS)] (http://quintuitive.com/feed/) 171 | * R and Data Mining https://rdatamining.wordpress.com/ [(RSS)] (http://rdatamining.wordpress.com/feed/) 172 | * R-bloggers http://www.r-bloggers.com/ [(RSS)] (http://feeds.feedburner.com/RBloggers) 173 | * R2RT http://r2rt.com/ [(RSS)] (http://r2rt.com/feeds/all.atom.xml) 174 | * Ramiro Gómez http://ramiro.org/notebooks/ [(RSS)] (http://ramiro.org/notebook/rss.xml) 175 | * Random notes on Computer Science, Mathematics and Software Engineering http://barmaley-exe.github.io/ [(RSS)] (http://feeds.feedburner.com/barmaley-exe-blog-feed) 176 | * Randy Zwitch http://randyzwitch.com/ [(RSS)] (http://randyzwitch.com/feed.xml) 177 | * RaRe Technologies http://rare-technologies.com/blog/ [(RSS)] (http://rare-technologies.com/feed/) 178 | * Rayli.Net http://rayli.net/blog/ [(RSS)] (http://rayli.net/blog/feed/) 179 | * Revolutions http://blog.revolutionanalytics.com/ [(RSS)] (http://blog.revolutionanalytics.com/atom.xml) 180 | * Rinu Boney http://rinuboney.github.io/ [(RSS)] (http://rinuboney.github.io/feed.xml) 181 | * RNDuja Blog http://rnduja.github.io/ [(RSS)] (http://rnduja.github.io/feed.xml) 182 | * Robert Chang https://medium.com/@rchang [(RSS)] (https://medium.com/feed/@rchang) 183 | * Rocket-Powered Data Science http://rocketdatascience.org [(RSS)] (http://rocketdatascience.org/?feed=rss2) 184 | * Sachin Joglekar's blog https://codesachin.wordpress.com/ [(RSS)] (https://codesachin.wordpress.com/feed/) 185 | * samim https://medium.com/@samim [(RSS)] (https://medium.com/feed/@samim) 186 | * Sean J. Taylor http://seanjtaylor.com/ [(RSS)] (http://seanjtaylor.com/rss) 187 | * Sebastian Raschka http://sebastianraschka.com/blog/index.html [(RSS)] (http://sebastianraschka.com/rss_feed.xml) 188 | * Sebastian Ruder http://sebastianruder.com/ [(RSS)] (http://sebastianruder.com/rss/) 189 | * Sebastian's slow blog http://www.nowozin.net/sebastian/blog/ [(RSS)] (http://www.nowozin.net/sebastian/blog/feeds/all.atom.xml) 190 | * Shakir's Machine Learning Blog http://blog.shakirm.com/ [(RSS)] (http://blog.shakirm.com/feed/) 191 | * Simply Statistics http://simplystatistics.org [(RSS)] (http://simplystatistics.org/feed/) 192 | * Startup.ML Blog http://startup.ml/blog [(RSS)] (http://www.startup.ml/blog?format=RSS) 193 | * Springboard Blog http://springboard.com/blog 194 | * Statistical Modeling, Causal Inference, and Social Science http://andrewgelman.com/ [(RSS)] (http://andrewgelman.com/feed/) 195 | * Stigler Diet http://stiglerdiet.com/ [(RSS)] (http://stiglerdiet.com/feeds/all.atom.xml) 196 | * Stitch Fix Tech Blog http://multithreaded.stitchfix.com/blog/ [(RSS)] (http://multithreaded.stitchfix.com/feed.xml) 197 | * Storytelling with Statistics on Quora http://datastories.quora.com/ [(RSS)] (http://datastories.quora.com/rss) 198 | * StreamHacker http://streamhacker.com/ [(RSS)] (http://feeds.feedburner.com/StreamHacker) 199 | * Subconscious Musings http://blogs.sas.com/content/subconsciousmusings/ [(RSS)] (http://feeds.feedburner.com/advanalytics) 200 | * Swan Intelligence http://swanintelligence.com/ [(RSS)] (http://swanintelligence.com/feeds/all.rss.xml) 201 | * TechnoCalifornia http://technocalifornia.blogspot.se/ [(RSS)] (http://technocalifornia.blogspot.com/feeds/posts/default) 202 | * TEXT ANALYSIS BLOG | AYLIEN http://blog.aylien.com/ [(RSS)] (http://blog.aylien.com/rss) 203 | * The Angry Statistician http://angrystatistician.blogspot.com/ [(RSS)] (http://angrystatistician.blogspot.com/feeds/posts/default) 204 | * The Clever Machine https://theclevermachine.wordpress.com/ [(RSS)] (http://theclevermachine.wordpress.com/feed/) 205 | * The Data Camp Blog https://www.datacamp.com/community/blog [(RSS)] (http://blog.datacamp.com/feed/) 206 | * The Data Incubator http://blog.thedataincubator.com/ [(RSS)] (http://blog.thedataincubator.com/feed/) 207 | * The Data Science Lab https://datasciencelab.wordpress.com/ [(RSS)] (http://datasciencelab.wordpress.com/feed/) 208 | * THE ETZ-FILES http://alexanderetz.com/ [(RSS)] (http://nicebrain.wordpress.com/feed/) 209 | * The Science of Data http://www.martingoodson.com [(RSS)] (http://www.martingoodson.com/rss/) 210 | * The Shape of Data https://shapeofdata.wordpress.com [(RSS)] (https://shapeofdata.wordpress.com/feed/) 211 | * The unofficial Google data science Blog http://www.unofficialgoogledatascience.com/ [(RSS)] (http://www.unofficialgoogledatascience.com/feeds/posts/default) 212 | * Tim Dettmers http://timdettmers.com/ [(RSS)] (http://timdettmers.com/feed/) 213 | * Tombone's Computer Vision Blog http://www.computervisionblog.com/ [(RSS)] (http://www.computervisionblog.com/feeds/posts/default) 214 | * Trevor Stephens http://trevorstephens.com/ [(RSS)] (http://trevorstephens.com/feed.xml) 215 | * Trey Causey http://treycausey.com/ [(RSS)] (http://treycausey.com/feeds/all.atom.xml) 216 | * UW Data Science Blog http://datasciencedegree.wisconsin.edu/blog/ [(RSS)] (http://datasciencedegree.wisconsin.edu/feed/) 217 | * Wellecks http://wellecks.wordpress.com/ [(RSS)] (http://wellecks.wordpress.com/feed/) 218 | * Wes McKinney http://wesmckinney.com/archives.html [(RSS)] (http://wesmckinney.com/feeds/all.atom.xml) 219 | * While My MCMC Gently Samples http://twiecki.github.io/ [(RSS)] (http://twiecki.github.io/atom.xml) 220 | * WildML http://www.wildml.com/ [(RSS)] (http://www.wildml.com/feed/) 221 | * Will do stuff for stuff http://rinzewind.org/blog-en [(RSS)] (http://rinzewind.org/feed-en) 222 | * Will wolf http://willwolf.io/ [(RSS)] (http://willwolf.io/feed/) 223 | * WILL'S NOISE http://www.willmcginnis.com/ [(RSS)] (http://www.willmcginnis.com/feed/) 224 | * William Lyon http://www.lyonwj.com/ [(RSS)] (http://www.lyonwj.com/atom.xml) 225 | * Win-Vector Blog http://www.win-vector.com/blog/ [(RSS)] (http://www.win-vector.com/blog/feed/) 226 | * Yanir Seroussi http://yanirseroussi.com/ [(RSS)] (http://yanirseroussi.com/feed/) 227 | * Zac Stewart http://zacstewart.com/ [(RSS)] (http://zacstewart.com/feed.xml) 228 | * ŷhat http://blog.yhat.com/ [(RSS)] (http://blog.yhat.com/rss.xml) 229 | * ℚuantitative √ourney http://outlace.com/ [(RSS)] (http://outlace.com/feed.xml) 230 | * 大トロ http://blog.otoro.net/ [(RSS)] (http://blog.otoro.net/feed.xml) 231 | * Audun M. Øygard http://www.auduno.com/ [(RSS)] (http://auduno.tumblr.com/rss) 232 | * Arthur Juliani https://medium.com/@awjuliani [(RSS)] (https://medium.com/feed/@awjuliani) 233 | * Adit Deshpande https://adeshpande3.github.io/ [(RSS)] (https://adeshpande3.github.io/adeshpande3.github.io/feed.xml) 234 | * Brilliantly wrong thoughts on science and programming https://arogozhnikov.github.io/ [(RSS)] (http://arogozhnikov.github.io/feed.xml) 235 | * Ben Frederickson http://www.benfrederickson.com/blog/ [(RSS)] (http://www.benfrederickson.com/atom.xml) 236 | 237 | # RSS 238 | You can import an [opml file] (./data-science.opml) to your favorite RSS reader. 239 | Also you can add [a feed] (http://dsguide.biz/reader/feeds/posts) where the list is always up to date. 240 | 241 | # Contributing 242 | Your contributions are always welcome! 243 | -------------------------------------------------------------------------------- /data-science.opml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | Data science blogs 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 100 | 101 | 102 | 103 | 104 | 105 | 106 | 107 | 108 | 109 | 110 | 111 | 112 | 113 | 114 | 115 | 116 | 117 | 118 | 119 | 120 | 121 | 122 | 123 | 124 | 125 | 126 | 127 | 128 | 129 | 130 | 131 | 132 | 133 | 134 | 135 | 136 | 137 | 138 | 139 | 140 | 141 | 142 | 143 | 144 | 145 | 146 | 147 | 148 | 149 | 150 | 151 | 152 | 153 | 154 | 155 | 156 | 157 | 158 | 159 | 160 | 161 | 162 | 163 | 164 | 165 | 166 | 167 | 168 | 169 | 170 | 171 | 172 | 173 | 174 | 175 | 176 | 177 | 178 | 179 | 180 | 181 | 182 | 183 | 184 | 185 | 186 | 187 | 188 | 189 | 190 | 191 | 192 | 193 | 194 | 195 | 196 | 197 | 198 | 199 | 200 | 201 | 202 | 203 | 204 | 205 | 206 | 207 | 208 | 209 | 210 | 211 | 212 | 213 | 214 | 215 | 216 | 217 | 218 | 219 | 220 | 221 | 222 | 223 | 224 | 225 | 226 | 227 | 228 | 229 | 230 | 231 | 232 | 233 | 234 | 235 | 236 | 237 | 238 | 239 | 240 | 241 | 242 | 243 | -------------------------------------------------------------------------------- /frequency.py: -------------------------------------------------------------------------------- 1 | # coding: utf-8 2 | from datetime import datetime, timedelta 3 | import feedparser 4 | import re 5 | import time 6 | 7 | readme = open('README.md').read() 8 | feeds = re.findall('\[\(RSS\)\] \((.*?)\)', readme) 9 | 10 | past_week = datetime.now() - timedelta(days=7) 11 | past_month = datetime.now() - timedelta(days=30) 12 | 13 | per_week = 0 14 | per_month = 0 15 | 16 | for url in feeds: 17 | data = feedparser.parse(url) 18 | for f in data.entries: 19 | try: 20 | dt = datetime.fromtimestamp(time.mktime(f.updated_parsed)) 21 | except Exception as err: 22 | print(err, url) 23 | break 24 | 25 | if dt >= past_week: 26 | per_week += 1 27 | 28 | if dt >= past_month: 29 | per_month += 1 30 | 31 | print('Blog post frequency (roughly): {} per week / {} per month.'.format(per_week, per_month)) 32 | -------------------------------------------------------------------------------- /generate_opml.py: -------------------------------------------------------------------------------- 1 | import re 2 | import html 3 | 4 | xmlbody = """ 5 | 6 | 7 | 8 | Data science blogs 9 | 10 | 11 | 12 | {items} 13 | 14 | 15 | 16 | """ 17 | xmlitem = '' 19 | 20 | readme = open('README.md').read() 21 | blogs = re.findall('\* (.*?) http([s]{0,1})\:\/\/(.*?) \[\(RSS\)\] \((.*?)\)', readme) 22 | 23 | items = '' 24 | for blog in blogs: 25 | item = xmlitem.format(title=html.escape(blog[0].strip()), 26 | httpfeed='http{0}://{1}'.format(blog[1].strip(), blog[2].strip()), 27 | rssfeed=blog[3].strip()) 28 | items += '\t\t\t{}\r\n'.format(item) 29 | 30 | open('data-science.opml', 'w').write(xmlbody.format(items=items[0:-2])) 31 | --------------------------------------------------------------------------------