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	<title>Thinknook &#187; Coding</title>
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	<link>http://thinknook.com</link>
	<description>Because the world needs another Business Intelligence blog!</description>
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		<title>Visual Studio 2013 Preview is Available for Download</title>
		<link>http://thinknook.com/visual-studio-2013-preview-is-available-for-download-2013-06-29/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=visual-studio-2013-preview-is-available-for-download</link>
		<comments>http://thinknook.com/visual-studio-2013-preview-is-available-for-download-2013-06-29/#comments</comments>
		<pubDate>Fri, 28 Jun 2013 23:00:17 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[Coding]]></category>
		<category><![CDATA[visual studio]]></category>
		<category><![CDATA[visual studio 13]]></category>
		<category><![CDATA[visual studio 2013]]></category>
		<category><![CDATA[visual studio preview]]></category>
		<category><![CDATA[vs]]></category>
		<category><![CDATA[vs13]]></category>
		<category><![CDATA[vs13 preview]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=1143</guid>
		<description><![CDATA[Well its Preview release week at Microsoft, and the new and shiny Visual Studio 2013 is now available for download under multiple editions and with additional VS13 tools. So whats new you ask, well not a lot in terms of look &#38; feel, but they have certainly packed-in a few new features that would appeal [&#8230;]]]></description>
		<wfw:commentRss>http://thinknook.com/visual-studio-2013-preview-is-available-for-download-2013-06-29/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Rehashing SQL Server Hashing Algorithms for Large Text Fields</title>
		<link>http://thinknook.com/rehashing-sql-server-hashing-algorithms-for-large-text-fields-2013-03-23/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=rehashing-sql-server-hashing-algorithms-for-large-text-fields</link>
		<comments>http://thinknook.com/rehashing-sql-server-hashing-algorithms-for-large-text-fields-2013-03-23/#comments</comments>
		<pubDate>Sat, 23 Mar 2013 19:51:29 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[C#]]></category>
		<category><![CDATA[MS SQL Server]]></category>
		<category><![CDATA[SQL Development]]></category>
		<category><![CDATA[SQL Optimisation]]></category>
		<category><![CDATA[checksum]]></category>
		<category><![CDATA[fnv]]></category>
		<category><![CDATA[hash]]></category>
		<category><![CDATA[hash algorithms]]></category>
		<category><![CDATA[hashbytes]]></category>
		<category><![CDATA[md2]]></category>
		<category><![CDATA[md4]]></category>
		<category><![CDATA[md5]]></category>
		<category><![CDATA[sha1]]></category>
		<category><![CDATA[sha2]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[sql server]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=1048</guid>
		<description><![CDATA[Hashing can be a very useful technique when dealing with the storage and look up of large text fields (say a table of URLs or Search Keywords), these fields will incur high resource utilization on any database engine if used directly in DML statements, in which they are either filtered by or aggregated on. Any index built on these [&#8230;]]]></description>
		<wfw:commentRss>http://thinknook.com/rehashing-sql-server-hashing-algorithms-for-large-text-fields-2013-03-23/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Two Dimensional Python Matrix Data-Structure with String Indices (Indexes)</title>
		<link>http://thinknook.com/two-dimensional-python-matrix-data-structure-with-string-indices-2013-01-17/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=two-dimensional-python-matrix-data-structure-with-string-indices</link>
		<comments>http://thinknook.com/two-dimensional-python-matrix-data-structure-with-string-indices-2013-01-17/#comments</comments>
		<pubDate>Thu, 17 Jan 2013 19:09:42 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[Coding]]></category>
		<category><![CDATA[data-structure]]></category>
		<category><![CDATA[matrix]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=903</guid>
		<description><![CDATA[Today I was trying to create a 2 dimensional data structure that can be queried using string indices rather than integer ones, this is using Python which am a total newbie in (but trying to write a research project using). The idea was to find something natively within Python, rather than implement my own structure, such [&#8230;]]]></description>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>NLTK Megam (Maximum Entropy) Library on 64-bit Linux</title>
		<link>http://thinknook.com/nltk-megam-maximum-entropy-library-on-64-bit-linux-2012-11-27/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=nltk-megam-maximum-entropy-library-on-64-bit-linux</link>
		<comments>http://thinknook.com/nltk-megam-maximum-entropy-library-on-64-bit-linux-2012-11-27/#comments</comments>
		<pubDate>Tue, 27 Nov 2012 15:57:46 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[Coding]]></category>
		<category><![CDATA[Coding Libraries]]></category>
		<category><![CDATA[Data-Mining]]></category>
		<category><![CDATA[Sentiment Analysis]]></category>
		<category><![CDATA[classification]]></category>
		<category><![CDATA[logistic regression]]></category>
		<category><![CDATA[max ent]]></category>
		<category><![CDATA[megam]]></category>
		<category><![CDATA[natural language processing]]></category>
		<category><![CDATA[nltk]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=837</guid>
		<description><![CDATA[NLTK (Natural Language Toolkit) is a Python library that allows developers and researchers to extract information and annotations from text, and run classification algorithms such as the Naive Bayes or Maximum Entropy, as well as many other interesting Natural Language tools and processing techniques. The Maximum Entropy algorithm from NLTK comes in different flavours, this post will [&#8230;]]]></description>
		<wfw:commentRss>http://thinknook.com/nltk-megam-maximum-entropy-library-on-64-bit-linux-2012-11-27/feed/</wfw:commentRss>
		<slash:comments>12</slash:comments>
		</item>
		<item>
		<title>Import Dmoz Content through C# to SQL Server</title>
		<link>http://thinknook.com/import-dmoz-content-through-c-to-sql-server-2012-09-24/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=import-dmoz-content-through-c-to-sql-server</link>
		<comments>http://thinknook.com/import-dmoz-content-through-c-to-sql-server-2012-09-24/#comments</comments>
		<pubDate>Mon, 24 Sep 2012 11:51:21 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[C#]]></category>
		<category><![CDATA[Coding Libraries]]></category>
		<category><![CDATA[c#]]></category>
		<category><![CDATA[dmoz]]></category>
		<category><![CDATA[sql server]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=718</guid>
		<description><![CDATA[Dmoz (the Open Directory Project) has a wealth of data in relation to websites, as well as a comprehensive list of categories, this has been established through years of maintaining the directory (before and after being bought by Google), and being one of the most &#8220;sought after&#8221; real-estate in terms of link building. Recently I [&#8230;]]]></description>
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		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>C# Bayesian Network Client Library</title>
		<link>http://thinknook.com/c-bayesian-network-client-library-2012-03-21/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=c-bayesian-network-client-library</link>
		<comments>http://thinknook.com/c-bayesian-network-client-library-2012-03-21/#comments</comments>
		<pubDate>Wed, 21 Mar 2012 10:23:11 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[C#]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=517</guid>
		<description><![CDATA[Bayesian Networks, particularly in its Naive (or Idiotic, as some angry physicist might call it), is an absolutely amazing and intuitive way for reasoning with a Probabilistic Network model. The Bayesian model has been heavily used across a wide array of industries, even though the Naive model is very much a simplistic view of what [&#8230;]]]></description>
		<wfw:commentRss>http://thinknook.com/c-bayesian-network-client-library-2012-03-21/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The World, but Zipped!</title>
		<link>http://thinknook.com/the-world-but-zipped-2012-01-24/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-world-but-zipped</link>
		<comments>http://thinknook.com/the-world-but-zipped-2012-01-24/#comments</comments>
		<pubDate>Tue, 24 Jan 2012 12:11:54 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[Coding Libraries]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=355</guid>
		<description><![CDATA[This is more of a rant rather than anything useful, although I do give a link to an awesome JQuery library for zipping and unzipping files, so stick around! I&#8217;ve been thinking about this for a while now (well, for a day), but I still can not come up with a good reason why not [&#8230;]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Execute PHP File Within C#</title>
		<link>http://thinknook.com/execute-php-file-within-c-sharp-2011-12-10/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=execute-php-file-within-c-sharp</link>
		<comments>http://thinknook.com/execute-php-file-within-c-sharp-2011-12-10/#comments</comments>
		<pubDate>Sat, 10 Dec 2011 14:12:54 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[C#]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=253</guid>
		<description><![CDATA[Running PHP from C-Sharp is not a great way to go about building a stable code base, but sometimes it is a necessary evil. I&#8217;ve ran into this very issue recently when trying to convert a new PHP PageRank hashing algorithm into C-Sharp, the problem mainly stemmed from the fact that the code did a [&#8230;]]]></description>
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		<slash:comments>3</slash:comments>
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