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<?xml-stylesheet type="text/xsl" href="http://blogs.msdn.com/utility/FeedStylesheets/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"><channel><title>Book Review (Book 7) - Think Stats</title><link>http://blogs.msdn.com/b/buckwoody/archive/2011/12/30/book-review-book-7-think-stats.aspx</link><description>This is a continuation of the books I challenged myself to read to help my career - one a month, for year. You can read my first book review here . The book I chose for December 2011 was: Think Stats, by Allen B. Downey .&amp;#160; Why I chose this Book:</description><dc:language>en-US</dc:language><generator>Telligent Evolution Platform Developer Build (Build: 5.6.50428.7875)</generator><item><title>re: Book Review (Book 7) - Think Stats</title><link>http://blogs.msdn.com/b/buckwoody/archive/2011/12/30/book-review-book-7-think-stats.aspx#10281051</link><pubDate>Sun, 11 Mar 2012 16:40:27 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10281051</guid><dc:creator>RK</dc:creator><description>&lt;p&gt;&amp;quot;Python certainly is a Data Scientist’s tool, just normally not for statistics.&amp;quot; &lt;/p&gt;
&lt;p&gt;Correction here -- It is definitely used for solving problems that are &amp;nbsp;statistical in nature. For Big datasets, R is particularly painful to work with. It is just that statisticians tend to use R than Python.&lt;/p&gt;
&lt;p&gt;Thanks for the review ...&lt;/p&gt;
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