├── generate_opml.py
├── README.md
└── data-science.opml
/generate_opml.py:
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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 |
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/README.md:
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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 | * Entrepreneurial Geekiness http://ianozsvald.com/ [(RSS)] (http://ianozsvald.com/feed/)
7 | * no free hunch http://blog.kaggle.com/ [(RSS)] (http://blog.kaggle.com/feed/)
8 | * Pythonic Perambulations https://jakevdp.github.io/ [(RSS)] (http://jakevdp.github.com/atom.xml)
9 | * Rayli.Net http://rayli.net/blog/ [(RSS)] (http://rayli.net/blog/feed/)
10 | * ŷhat http://blog.yhathq.com/ [(RSS)] (http://blog.yhathq.com/rss.xml)
11 | * Beckerfuffle http://mdbecker.github.io/ [(RSS)] (http://mdbecker.github.io/atom.xml)
12 | * Carl Shan http://carlshan.com/ [(RSS)] (http://feeds.feedburner.com/carlshan)
13 | * Data Mining: Text Mining, Visualization and Social Media http://datamining.typepad.com/data_mining/ [(RSS)] (http://datamining.typepad.com/data_mining/atom.xml)
14 | * FastML http://fastml.com/ [(RSS)] (http://fastml.com/atom.xml)
15 | * Garbled Notes http://www.chioka.in/ [(RSS)] (http://www.chioka.in/feed/)
16 | * Joy Of Data http://www.joyofdata.de/blog/ [(RSS)] (http://www.joyofdata.de/blog/feed/)
17 | * MLWave http://mlwave.com/ [(RSS)] (http://mlwave.com/feed/)
18 | * Trevor Stephens http://trevorstephens.com/ [(RSS)] (http://trevorstephens.com/rss)
19 | * While My MCMC Gently Samples http://twiecki.github.io/ [(RSS)] (http://twiecki.github.io/atom.xml)
20 | * Zac Stewart http://zacstewart.com/ [(RSS)] (http://zacstewart.com/feed.xml)
21 | * Machined Learnings http://www.machinedlearnings.com/ [(RSS)] (http://www.machinedlearnings.com/feeds/posts/default)
22 | * Deep Learning http://deeplearning.net/feed/ [(RSS)] (http://deeplearning.net/feed/)
23 | * Nuit Blanche http://nuit-blanche.blogspot.com/ [(RSS)] (http://nuit-blanche.blogspot.com/feeds/posts/default)
24 | * Machine Learning (Theory) http://hunch.net/ [(RSS)] (http://hunch.net/?feed=rss2)
25 | * Large Scale Machine Learning http://bickson.blogspot.com/ [(RSS)] (http://bickson.blogspot.com/feeds/posts/default)
26 | * Revolutions http://blog.revolutionanalytics.com/ [(RSS)] (http://blog.revolutionanalytics.com/atom.xml)
27 | * KDnuggets http://www.kdnuggets.com/ [(RSS)] (http://feeds.feedburner.com/kdnuggets-data-mining-analytics)
28 | * Wellecks http://wellecks.wordpress.com/ [(RSS)] (http://wellecks.wordpress.com/feed/)
29 | * PyImageSearch http://www.pyimagesearch.com/ [(RSS)] (http://feeds.feedburner.com/Pyimagesearch)
30 | * Data Mining Research http://www.dataminingblog.com/ [(RSS)] (http://feeds.feedburner.com/dataminingblog)
31 | * Trey Causey http://treycausey.com/ [(RSS)] (http://treycausey.com/feeds/all.atom.xml)
32 | * Deep Learning https://timdettmers.wordpress.com/ [(RSS)] (http://timdettmers.wordpress.com/feed/)
33 | * Machine Learning and Data Science http://alexhwoods.com/ [(RSS)] (http://alexhwoods.com/feed/)
34 | * i am trask http://iamtrask.github.io/ [(RSS)] (http://iamtrask.github.io/feed.xml)
35 | * Jonas Degrave http://317070.github.io/ [(RSS)] (http://317070.github.io/feed.xml)
36 | * Yanir Seroussi http://yanirseroussi.com/ [(RSS)] (http://yanirseroussi.com/feed/)
37 | * Life, Language, Learning http://daoudclarke.github.io/ [(RSS)] (http://daoudclarke.github.io/atom.xml)
38 | * M.E.Driscoll http://medriscoll.com/ [(RSS)] (http://medriscoll.com/rss)
39 | * Models are illuminating and wrong https://peadarcoyle.wordpress.com/ [(RSS)] (http://peadarcoyle.wordpress.com/feed/)
40 | * Christophe Bourguignat https://medium.com/@chris_bour [(RSS)] (https://medium.com/feed/@chris_bour)
41 | * samim https://medium.com/@samim [(RSS)] (https://medium.com/feed/@samim)
42 | * Andrej Karpathy blog http://karpathy.github.io/ [(RSS)] (http://karpathy.github.io/feed.xml)
43 | * colah's blog http://colah.github.io/archive.html [(RSS)] (http://colah.github.io/rss.xml)
44 | * Sebastian Raschka http://sebastianraschka.com/articles.html [(RSS)] (http://sebastianraschka.com/rss_feed.xml)
45 | * Edwin Chen http://blog.echen.me [(RSS)] (http://blog.echen.me/feeds/all.rss.xml)
46 | * Simply Statistics http://simplystatistics.org [(RSS)] (http://simplystatistics.org/feed/)
47 |
48 | # RSS
49 | You can import an [opml file] (./data-science.opml) to your favorite RSS reader.
50 |
51 | # Contributing
52 | Your contributions are always welcome!
53 |
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/data-science.opml:
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