├── README.md ├── data-science.opml └── generate_opml.py /README.md: -------------------------------------------------------------------------------- 1 | # Data science blogs 2 | A curated list of data science blogs 3 | * Analytics Vidhya http://www.analyticsvidhya.com/blog/ [(RSS)] (http://feeds.feedburner.com/AnalyticsVidhya) 4 | * Dataaspirant http://dataaspirant.com/ [(RSS)] (http://dataaspirant.wordpress.com/feed/) 5 | * Dr. Randal S. Olson http://www.randalolson.com/blog/ [(RSS)] (http://www.randalolson.com/feed/) 6 | * Domino Data Lab's blog http://blog.dominodatalab.com/ [(RSS)] (http://blog.dominodatalab.com/rss/) 7 | * Entrepreneurial Geekiness http://ianozsvald.com/ [(RSS)] (http://ianozsvald.com/feed/) 8 | * no free hunch http://blog.kaggle.com/ [(RSS)] (http://blog.kaggle.com/feed/) 9 | * Pythonic Perambulations https://jakevdp.github.io/ [(RSS)] (http://jakevdp.github.com/atom.xml) 10 | * Rayli.Net http://rayli.net/blog/ [(RSS)] (http://rayli.net/blog/feed/) 11 | * ŷhat http://blog.yhathq.com/ [(RSS)] (http://blog.yhathq.com/rss.xml) 12 | * Beckerfuffle http://mdbecker.github.io/ [(RSS)] (http://mdbecker.github.io/atom.xml) 13 | * Carl Shan http://carlshan.com/ [(RSS)] (http://feeds.feedburner.com/carlshan) 14 | * Data Mining: Text Mining, Visualization and Social Media http://datamining.typepad.com/data_mining/ [(RSS)] (http://datamining.typepad.com/data_mining/atom.xml) 15 | * FastML http://fastml.com/ [(RSS)] (http://fastml.com/atom.xml) 16 | * Garbled Notes http://www.chioka.in/ [(RSS)] (http://www.chioka.in/feed/) 17 | * Joy Of Data http://www.joyofdata.de/blog/ [(RSS)] (http://www.joyofdata.de/blog/feed/) 18 | * MLWave http://mlwave.com/ [(RSS)] (http://mlwave.com/feed/) 19 | * Trevor Stephens http://trevorstephens.com/ [(RSS)] (http://trevorstephens.com/rss) 20 | * While My MCMC Gently Samples http://twiecki.github.io/ [(RSS)] (http://twiecki.github.io/atom.xml) 21 | * Zac Stewart http://zacstewart.com/ [(RSS)] (http://zacstewart.com/feed.xml) 22 | * Machined Learnings http://www.machinedlearnings.com/ [(RSS)] (http://www.machinedlearnings.com/feeds/posts/default) 23 | * Deep Learning http://deeplearning.net/feed/ [(RSS)] (http://deeplearning.net/feed/) 24 | * Nuit Blanche http://nuit-blanche.blogspot.com/ [(RSS)] (http://nuit-blanche.blogspot.com/feeds/posts/default) 25 | * Machine Learning (Theory) http://hunch.net/ [(RSS)] (http://hunch.net/?feed=rss2) 26 | * Large Scale Machine Learning http://bickson.blogspot.com/ [(RSS)] (http://bickson.blogspot.com/feeds/posts/default) 27 | * Revolutions http://blog.revolutionanalytics.com/ [(RSS)] (http://blog.revolutionanalytics.com/atom.xml) 28 | * KDnuggets http://www.kdnuggets.com/ [(RSS)] (http://feeds.feedburner.com/kdnuggets-data-mining-analytics) 29 | * Wellecks http://wellecks.wordpress.com/ [(RSS)] (http://wellecks.wordpress.com/feed/) 30 | * PyImageSearch http://www.pyimagesearch.com/ [(RSS)] (http://feeds.feedburner.com/Pyimagesearch) 31 | * Data Mining Research http://www.dataminingblog.com/ [(RSS)] (http://feeds.feedburner.com/dataminingblog) 32 | * Trey Causey http://treycausey.com/ [(RSS)] (http://treycausey.com/feeds/all.atom.xml) 33 | * Deep Learning https://timdettmers.wordpress.com/ [(RSS)] (http://timdettmers.wordpress.com/feed/) 34 | * Machine Learning and Data Science http://alexhwoods.com/ [(RSS)] (http://alexhwoods.com/feed/) 35 | * i am trask http://iamtrask.github.io/ [(RSS)] (http://iamtrask.github.io/feed.xml) 36 | * Jonas Degrave http://317070.github.io/ [(RSS)] (http://317070.github.io/feed.xml) 37 | * Yanir Seroussi http://yanirseroussi.com/ [(RSS)] (http://yanirseroussi.com/feed/) 38 | * Life, Language, Learning http://daoudclarke.github.io/ [(RSS)] (http://daoudclarke.github.io/atom.xml) 39 | * M.E.Driscoll http://medriscoll.com/ [(RSS)] (http://medriscoll.com/rss) 40 | * Models are illuminating and wrong https://peadarcoyle.wordpress.com/ [(RSS)] (http://peadarcoyle.wordpress.com/feed/) 41 | * Christophe Bourguignat https://medium.com/@chris_bour [(RSS)] (https://medium.com/feed/@chris_bour) 42 | * samim https://medium.com/@samim [(RSS)] (https://medium.com/feed/@samim) 43 | * Andrej Karpathy blog http://karpathy.github.io/ [(RSS)] (http://karpathy.github.io/feed.xml) 44 | * colah's blog http://colah.github.io/archive.html [(RSS)] (http://colah.github.io/rss.xml) 45 | * Sebastian Raschka http://sebastianraschka.com/articles.html [(RSS)] (http://sebastianraschka.com/rss_feed.xml) 46 | * Edwin Chen http://blog.echen.me [(RSS)] (http://blog.echen.me/feeds/all.rss.xml) 47 | * Simply Statistics http://simplystatistics.org [(RSS)] (http://simplystatistics.org/feed/) 48 | * Will do stuff for stuff http://rinzewind.org/blog-en [(RSS)] (http://rinzewind.org/feed-en) 49 | * Tombone's Computer Vision Blog http://www.computervisionblog.com/ [(RSS)] (http://www.computervisionblog.com/feeds/posts/default) 50 | * I’m a bandit https://blogs.princeton.edu/imabandit/ [(RSS)] (https://blogs.princeton.edu/imabandit/feed/) 51 | * Data Science 101 http://101.datascience.community/ [(RSS)] (http://101.datascience.community/feed/) 52 | * R-bloggers http://www.r-bloggers.com/ [(RSS)] (http://feeds.feedburner.com/RBloggers) 53 | * Stitch Fix Tech Blog http://multithreaded.stitchfix.com/blog/ [(RSS)] (http://multithreaded.stitchfix.com/feed.xml) 54 | * DataGenetics http://datagenetics.com/blog.html [(RSS)] (http://datagenetics.com/feed/rss.xml) 55 | * Dataquest Blog https://www.dataquest.io/blog/ [(RSS)] (https://www.dataquest.io/blog/atom.xml) 56 | 57 | # RSS 58 | You can import an [opml file] (./data-science.opml) to your favorite RSS reader. 59 | 60 | # Contributing 61 | Your contributions are always welcome! 62 | -------------------------------------------------------------------------------- /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 | -------------------------------------------------------------------------------- /generate_opml.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | xmlbody = """ 4 | 5 | 6 | 7 | Data science blogs 8 | 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=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)) 31 | --------------------------------------------------------------------------------