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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Frequentism and Bayesianism: A Python-driven Primer · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1411.5018/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1411.5018/feed.xml" rel="self" type="application/rss+xml" /><item><title>Frequentism and Bayesianism: A Python-driven Primer — HN submission</title><link>https://news.ycombinator.com/item?id=10438065</link><guid isPermaLink="false">urn:hackerpapers:submission:1411.5018:10438065</guid><pubDate>Fri, 23 Oct 2015 12:11:19 GMT</pubDate><description>&lt;p&gt;Frequentism and Bayesianism: A Python-Driven Primer&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1411.5018/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item><item><title>Frequentism and Bayesianism: A Python-driven Primer — mentioned by danso</title><link>https://news.ycombinator.com/item?id=8743595</link><guid isPermaLink="false">urn:hackerpapers:mention:1411.5018:8743595</guid><pubDate>Sat, 13 Dec 2014 00:49:06 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m relatively new to Python so I don&amp;#x27;t have anything that I&amp;#x27;ve closely studied...mostly things I&amp;#x27;ve bookmarked that have been submitted to HN. The attractiveness of Python to me is the huge scientific programming community behind it, plus its human-friendly syntax...if R was more readable by me, I&amp;#x27;d prefer to work with just one language. So in terms of Python resources: - The classic NLTK book: http://www.nltk.org/ - A Programmer&amp;#x27;s Guide to Data Mining: http://guidetodatamining.com/ - Hitchhiker&amp;#x27;s Guide to Python: http://docs.python-guide.org/en/latest/index.html - Statistical Inference for…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1411.5018/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item></channel></rss>
