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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/"><channel><title>Don Syme's WebLog on F# and Related Topics</title><link>http://blogs.msdn.com/b/dsyme/</link><description /><dc:language>en-GB</dc:language><generator>Telligent Evolution Platform Developer Build (Build: 5.6.50428.7875)</generator><item><title>Come to the F# Workshop and Tutorial in Pisa, Italy, 27/28 June 2012 - "F# for Education and Innovation"</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/05/15/come-to-the-f-workshop-and-tutorial-in-pisa-italy-27-28-june-2012-quot-f-for-education-and-innovation-quot.aspx</link><pubDate>Tue, 15 May 2012 13:43:20 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10305348</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10305348</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/05/15/come-to-the-f-workshop-and-tutorial-in-pisa-italy-27-28-june-2012-quot-f-for-education-and-innovation-quot.aspx#comments</comments><description>&lt;p&gt;&amp;nbsp;The University of Pisa will be hosting a one-day workshop entitled &lt;a href="http://events.di.unipi.it/fsharp3/"&gt;F# for Education and Innovation&lt;/a&gt; on Tuesday 28th June 2012.&amp;nbsp; Please join us there!&lt;/p&gt;
&lt;div&gt;&lt;span lang="EN-GB"&gt;The workshop is preceded by an optional Introduction to F#&amp;nbsp; Tutorial, run by Antonio Cisternino at the University of Pisa, on 27th June&amp;nbsp; 2012.&lt;/span&gt;&lt;/div&gt;
&lt;div&gt;&lt;span lang="EN-GB"&gt;&lt;/span&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;&lt;span lang="EN-GB"&gt;Topics at the workshop will include &lt;strong&gt;Strongly-Typed Programming for the Information-Rich World&lt;/strong&gt;, &lt;strong&gt;Why F# for Finance&lt;/strong&gt;, &lt;strong&gt;F#&amp;nbsp;for Computer Science Education&lt;/strong&gt;, &lt;strong&gt;F# for Science&amp;nbsp;and Engineering&lt;/strong&gt;, &lt;strong&gt;Parallel Programming with F#&lt;/strong&gt;, and &lt;strong&gt;Research&amp;nbsp;Experiments with F#&lt;/strong&gt;.&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;/div&gt;
&lt;div&gt;&lt;span lang="EN-GB"&gt;&lt;/span&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;&lt;span lang="EN-GB"&gt;Hope to see you there!&lt;/span&gt;&lt;/div&gt;
&lt;div&gt;&lt;span lang="EN-GB"&gt;&lt;/span&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;&lt;span lang="EN-GB"&gt;Don&lt;/span&gt;&lt;/div&gt;
&lt;div&gt;&lt;span lang="EN-GB"&gt;&lt;/span&gt;&lt;/div&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;b&gt;Workshop aims&lt;/b&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;The F# in Education and Innovation one-day workshop will be held at the University of Pisa on Thursday 28th June 2012. The workshop provides a forum for attendees to learn and explore the use of F# 3.0 for education, research and in industry.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Topics include:&lt;/em&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;F# for computer science, science and engineering education;&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;F# in financial computing;&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Latest developments in F# 3.0 for information-rich programming, delivered through Visual Studio 11 and Try F# 3.0.&lt;/em&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;The workshop will conclude with a panel session discussing F# adoption in academia and industry.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;a href="http://events.di.unipi.it/fsharp3/Lists/registration/NewForm.aspx?Source=http://events.di.unipi.it/fsharp3/SitePages/Home.aspx?OK"&gt;Register here for this free workshop&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;b&gt;Introduction to F# Tutorial&lt;/b&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;The workshop is preceded by an optional Introduction to F# Tutorial, run by Antonio Cisternino at the University of Pisa, on 27th June 2012.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;a href="http://events.di.unipi.it/fsharp3/Lists/registration/NewForm.aspx?Source=http://events.di.unipi.it/fsharp3/SitePages/Home.aspx?OK"&gt;Register here for this free tutorial&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;b&gt;About F# - &lt;/b&gt;&lt;b&gt;&lt;a href="http://www.fsharp.net/"&gt;www.fsharp.net&lt;/a&gt;&lt;/b&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;F# is a succinct, expressive and efficient functional and object-oriented language for .NET which helps you write simple code to solve complex problems. F# is simple, type safe, and efficient functional programming language with special expressiveness in parallel programming, scripting, and algorithmic development. F# combines the sdvantages of typed functional programming with a high-quality, well-supported&lt;/em&gt;&lt;br /&gt;&lt;em&gt;modern runtime system and the .NET library and tools base.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10305348" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Education/">F# Education</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Finance/">F# Finance</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category></item><item><title>SkillsMatter Progressive F# Tutorials, New York City, 5-6 June 2012</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/05/15/skillsmatter-progressive-f-tutorials-new-york-city-05-june-2012.aspx</link><pubDate>Tue, 15 May 2012 13:29:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10305345</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10305345</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/05/15/skillsmatter-progressive-f-tutorials-new-york-city-05-june-2012.aspx#comments</comments><description>&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;I'm glad to mention that &lt;a href="http://skillsmatter.com"&gt;SkillsMatter&lt;/a&gt; will be running their &lt;a href="http://skillsmatter.com/event/scala/2012-progressive-f-tutorials-nyc/ac-4218"&gt;Progressive F# Tutorials&lt;/a&gt; in&amp;nbsp;New York City, 5 June 2012!&lt;/p&gt;
&lt;p&gt;This is a great opportunity for those on the East Coast of the USA to dive into practical, real-world programming F# from some of the world's best F# speakers.&amp;nbsp; Some details are below, more details via the link above.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Join us for this 2-day, 2-track F# event, packed with hands-on tutorials covering the latest developments in the fast moving world of F# Programming. Whether new to F# or seasoned veteran, be ready for an action packed two day adventure. &lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;img style="float: right;" src="https://skillsmatter.com/custom/images/homepagebanner.gif" width="365" height="117" /&gt;&lt;/em&gt;&lt;/p&gt;
&lt;h1 style="padding-left: 30px;"&gt;&lt;em&gt;experts&lt;/em&gt;&lt;/h1&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt; Learn and share skills with the F# world's foremost experts on hand, including Don Syme, Tomas Petricek, Phil Trelford and Chris Marinos (and others), each giving hands-on in-depth tutorials which are sure to bring fresh insight and challenge no matter your level of skill. &lt;/em&gt;&lt;/p&gt;
&lt;h1 style="padding-left: 30px;"&gt;&lt;em&gt;beginners track&lt;/em&gt;&lt;/h1&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt; Having some trouble getting a handle on F# or just functional programming in general?&amp;nbsp; Work through our beginner track and start from the basics.&amp;nbsp; You can be confident that after two days of full time functional immersion you'll have some seriously improved skills.&amp;nbsp; No prior F# experience is required whatsoever. &lt;/em&gt;&lt;/p&gt;
&lt;h1 style="padding-left: 30px;"&gt;&lt;em&gt;meaty track&lt;/em&gt;&lt;/h1&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt; Wishing for more meaty F# content?&amp;nbsp; Our advanced track will dive deep into F# 3.0 features, explore how to solve difficult problems using functional programming, and perhaps even glimpse the nature of functional programming itself. This is a rare opportunity to push yourself and learn deeply about the language you've already come to love..&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;a href="http://skillsmatter.com/event/scala/2012-progressive-f-tutorials-nyc/ac-4218"&gt;More details and registration here &lt;/a&gt;&lt;/em&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10305345" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Education/">F# Education</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/New+York/">New York</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/SkillsMatter/">SkillsMatter</category></item><item><title>Cross Posted: Online Training Course for F#</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/04/25/cross-posted-online-training-course-for-f.aspx</link><pubDate>Wed, 25 Apr 2012 03:30:57 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10297434</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10297434</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/04/25/cross-posted-online-training-course-for-f.aspx#comments</comments><description>&lt;p&gt;This is &lt;a href="http://blogs.msdn.com/b/fsharpteam/archive/2012/04/24/pluralsight-online-training-in-f.aspx"&gt;cross-posted&lt;/a&gt; from the &lt;a href="http://blogs.msdn.com/fsharpteam"&gt;F# team blog&lt;/a&gt;. Great to see this!&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Training is an important part of adopting F# successfully in any large organization.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;There are several options for F# training currently available, but one recent addition is an &lt;a href="http://www.pluralsight-training.net/microsoft/Courses/TableOfContents?courseName=fsintro"&gt;online training course in F# by Pluralsight&lt;/a&gt;, authored by &lt;a href="http://www.oliversturm.com/index.html"&gt;Oliver Sturm&lt;/a&gt;.&amp;nbsp; The material is available through a subscription -&amp;nbsp; &lt;a href="http://www.pluralsight-training.net/microsoft/"&gt;details on subscriptions to this material&lt;/a&gt; can be found on the Pluralsight website.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;The sections and durations of the course are listed below, and in more detail on the Pluralsight website.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 90px;"&gt;....&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;a href="http://blogs.msdn.com/b/fsharpteam/archive/2012/04/24/pluralsight-online-training-in-f.aspx"&gt;http://blogs.msdn.com/b/fsharpteam/archive/2012/04/24/pluralsight-online-training-in-f.aspx&lt;/a&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;br /&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10297434" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Training/">F# Training</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Oliver+Sturm/">Oliver Sturm</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Pluralsight/">Pluralsight</category></item><item><title>Updated version of "TrueSkill Through Time" Bayesian Inference Code</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/04/19/updated-version-of-quot-trueskill-through-time-quot-bayesian-inference-code.aspx</link><pubDate>Thu, 19 Apr 2012 15:35:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10295402</guid><dc:creator>dsyme</dc:creator><slash:comments>2</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10295402</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/04/19/updated-version-of-quot-trueskill-through-time-quot-bayesian-inference-code.aspx#comments</comments><description>&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Back in 2007 Ralf Herbrich and co. wrote a research paper called "&lt;a href="http://blogs.technet.com/b/apg/archive/2008/04/05/trueskill-through-time.aspx"&gt;TrueSkill Through Time&lt;/a&gt;". Their sample &lt;a href="http://blogs.technet.com/b/apg/archive/2008/04/05/trueskill-through-time.aspx"&gt;code &lt;/a&gt;was written with a pre-release of F# 1.0, and was not updated to F# in Visual Studio 2010.&lt;/p&gt;
&lt;p&gt;Here is an update of this code for F# in Visual Studio 2010, as requested by some people commenting on that blog entry. Please note that I'm not an expert in the code, and that it does currently require a database connection to use (to save the analysis results)&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10295402" width="1" height="1"&gt;</description><enclosure url="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-components-postattachments/00-10-29-54-02/ChessAnalysis.zip" length="37705" type="application/zip" /><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Math/">F# Math</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Statistics/">F# Statistics</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/TrueSkill/">TrueSkill</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Bayesian+Inference/">Bayesian Inference</category></item><item><title>More Hadoop+F# Goodness </title><link>http://blogs.msdn.com/b/dsyme/archive/2012/04/17/more-hadoop-f-goodness.aspx</link><pubDate>Tue, 17 Apr 2012 18:56:55 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10294624</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10294624</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/04/17/more-hadoop-f-goodness.aspx#comments</comments><description>&lt;p&gt;&lt;span style="font-size: small;"&gt;&lt;a href="http://blogs.msdn.com/b/mcsuksoldev/archive/2012/04/16/framework-for-composing-and-submitting-net-hadoop-mapreduce-jobs.aspx"&gt;More F# Hadoop goodness from Carl Nolan&lt;/a&gt;. This time a compositional framework for submitting F# and C# Azure/Hadoop map-reduce jobs.&lt;/span&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&amp;nbsp;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;a href="http://blogs.msdn.com/b/mcsuksoldev/archive/2012/04/16/framework-for-composing-and-submitting-net-hadoop-mapreduce-jobs.aspx"&gt;&amp;nbsp;&lt;strong&gt;&lt;em&gt;Framework for Composing and Submitting .Net Hadoop MapReduce Jobs&lt;/em&gt;&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;If you have been following my blog you will see that I have been putting together samples for writing .Net Hadoop MapReduce jobs; using Hadoop Streaming. However one thing that became apparent is that the samples could be reconstructed in a composable&amp;nbsp; framework to enable one to submit .Net based MapReduce jobs whilst only writing Mappers and Reducers types.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;To this end I have put together a framework that allows one to submit MapReduce jobs using the following command line syntax:&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;strong&gt;&lt;span style="font-family: Consolas; font-size: 10pt;"&gt;MSDN.Hadoop.Submission.Console.exe&lt;/span&gt;&lt;/strong&gt;&lt;span style="font-family: Consolas; font-size: 10pt;"&gt; -input "mobile/data/debug/sampledata.txt" -output "mobile/querytimes/debug"&amp;nbsp;-mapper "MSDN.Hadoop.MapReduceFSharp.MobilePhoneQueryMapper,MSDN.Hadoop.MapReduceFSharp"&amp;nbsp; -reducer "MSDN.Hadoop.MapReduceFSharp.MobilePhoneQueryReducer,MSDN.Hadoop.MapReduceFSharp"&amp;nbsp; -file "%HOMEPATH%MSDN.Hadoop.MapReducebinReleaseMSDN.Hadoop.MapReduceFSharp.dll"&lt;/span&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;Where the mapper and reducer parameters are .Net types that derive from a base Map and Reduce abstract classes. The input, output, and files options are analogous to the standard Hadoop streaming submissions. The mapper and reducer options (more on a combiner option later) allow one to define a .Net type derived from the appropriate abstract base classes.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;Under the covers standard Hadoop Streaming is being used, where controlling executables are used to handle the StdIn and StdOut operations and activating the required .Net types. The &amp;ldquo;&lt;/span&gt;&lt;span style="font-family: Consolas;"&gt;file&lt;/span&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;&amp;rdquo; parameter is required to specify the DLL for the .Net type to be loaded at runtime, in addition to any other required files.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;As an aside the framework and base classes are all written in F#; with sample Mappers and Reducers, and abstract base classes being provided both in C# and F#. The code is based off the F# Streaming samples in my previous &lt;a title="Hadoop Streaming and F# MapReduce" href="http://blogs.msdn.com/b/carlnol/archive/2011/12/16/hadoop-streaming-and-f-mapreduce.aspx" target="_blank"&gt;blog posts&lt;/a&gt;. I will cover more of the semantics of the code in a later post, but I wanted to provide some usage samples of the code.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;As always the source can be downloaded from:&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;span style="font-family: 'Calibri','sans-serif';"&gt;&lt;a title="http://code.msdn.microsoft.com/Framework-for-Composing-af656ef7" href="http://code.msdn.microsoft.com/Framework-for-Composing-af656ef7" target="_blank"&gt;http://code.msdn.microsoft.com/Framework-for-Composing-af656ef7&lt;/a&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&amp;nbsp;....&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10294624" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Big+Data/">Big Data</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Cloud+Programming/">Cloud Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Hadoop/">Hadoop</category></item><item><title>Force-Directed Graph Layout in HTML5 with F# and WebSharper</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/04/17/force-directed-graph-layout-in-html5-with-f-and-websharper.aspx</link><pubDate>Tue, 17 Apr 2012 15:30:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10294500</guid><dc:creator>dsyme</dc:creator><slash:comments>1</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10294500</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/04/17/force-directed-graph-layout-in-html5-with-f-and-websharper.aspx#comments</comments><description>&lt;p&gt;Do you want to write succinct, type-safe and correct HTML5 web code which is not &lt;a href="http://blogs.msdn.com/b/dsyme/archive/2012/04/12/is-javascript-code-always-so-full-of-bugs.aspx"&gt;full of bugs&lt;/a&gt;?&amp;nbsp; Writing Javascript-executing code with F# is appealing for these and other reasons I've gone into before, and the open source &lt;a href="http://blogs.msdn.com/b/dsyme/archive/2012/01/22/websharper-javascript-html5-mobile-etc.aspx"&gt;Pit and WebSharper frameworks&lt;/a&gt; give ways to use F# to write HTML5/Javascript code for web and mobile applications.&lt;/p&gt;
&lt;p&gt;But what's it like to write this kind of F# code?&amp;nbsp;What's it like to&amp;nbsp;really write efficient, strongly-typed code that converts to Javascript?&amp;nbsp; On DeveloperFusion, &lt;a href="http://blogs.msdn.com/profile/anton.tayanovskyy/"&gt;Anton Tayanovskyy&lt;/a&gt; has written a step-by-step buide to &lt;a href="http://www.developerfusion.com/article/142002/forcedirected-graph-layout-in-websharper/"&gt;writing a non-trivial HTML5 analytical visualization component using F# and the open source WebSharper framework&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;The one thing I'd like Anton to add is how to access the layout logic in the F# component from Javascript (or CoffeeScript). Here I am assuming you may&amp;nbsp;want to access this layout logic from a Javascript component (much as you often want to access an F# component from a C# GUI when writing .NET F# code). [ nb. this bit was edited to clarify, seee Adam's comment below ]&lt;/p&gt;
&lt;p&gt;Enjoy!&lt;/p&gt;
&lt;p&gt;don&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h1 style="padding-left: 30px;"&gt;&lt;em&gt;&lt;a href="http://www.developerfusion.com/article/142002/forcedirected-graph-layout-in-websharper/"&gt;Force-Directed Graph Layout in WebSharper&lt;/a&gt;&lt;/em&gt;&lt;/h1&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&amp;nbsp;&amp;nbsp; In this tutorial I demonstrate how to build an interactive&amp;nbsp;&amp;nbsp; force-directed graph visualization running in the browser.&amp;nbsp;&amp;nbsp; Instead of coding directly in JavaScript and HTML5, I take&amp;nbsp;&amp;nbsp; advantage of &lt;a href="http://fsharp.net/"&gt;F#&lt;/a&gt;,&amp;nbsp;&amp;nbsp; &lt;a href="http://websharper.com/"&gt;WebSharper&lt;/a&gt;, and&amp;nbsp;&amp;nbsp; &lt;a href="http://raphaeljs.com/"&gt;Raphael&lt;/a&gt;.&amp;nbsp; This technology&amp;nbsp;&amp;nbsp; combo makes it pleasantly simple to navigate the available API.&amp;nbsp;&amp;nbsp; It also reduces mistakes by checking types and units of measure,&amp;nbsp;&amp;nbsp; making the job both easy and fun.&amp;nbsp; Dive in to learn how to make&amp;nbsp;&amp;nbsp; the most out of F# and WebSharper for portable interactive&amp;nbsp;&amp;nbsp; vector graphics in the browser.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;....&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;/em&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10294500" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/HTML5/">HTML5</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/WebSharper/">WebSharper</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Javascript/">Javascript</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Pit/">Pit</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Web+Programming/">Web Programming</category></item><item><title>Next F# New York City Meetup: Tomas Petricek on F# applications - From Domain Model to User Interface</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/04/13/next-f-new-york-city-meetup-tomas-petricek-on-f-applications-from-domain-model-to-user-interface.aspx</link><pubDate>Fri, 13 Apr 2012 02:26:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10293429</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10293429</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/04/13/next-f-new-york-city-meetup-tomas-petricek-on-f-applications-from-domain-model-to-user-interface.aspx#comments</comments><description>&lt;div class="clearfix event-stack-display" id="event-when-display"&gt;&lt;time itemprop="startDate" datetime="2012-04-25T18:30:00-04:00"&gt;
&lt;p id="event-when-suggest" class="suggested-by"&gt;The next F# New York City Meetup is now scheduled...&lt;/p&gt;
&lt;p class="suggested-by"&gt;Microsoft Offices, 6th floor, 1290 Avenue of the Americas&lt;span&gt;, between 51st and 52nd Streets&lt;/span&gt;&lt;span&gt;, New York&lt;/span&gt;, &lt;span&gt;NY&lt;/span&gt; &lt;span class="event-map-link"&gt;(&lt;a href="http://maps.google.com/maps?q=1290+Avenue+of+the+Americas%2C+New+York%2C+NY" target="_blank"&gt;map&lt;/a&gt;)&lt;/span&gt;&lt;/p&gt;
&lt;h1 class="suggested-by"&gt;&lt;a href="http://www.meetup.com/nyc-fsharp/events/60329902/"&gt;Tomas Petricek on F# applications - From Domain Model to User Interface&lt;span class="event-map-link"&gt;&lt;img style="float: right;" src="data:image/png;base64,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" alt="" /&gt;&lt;/span&gt;&lt;/a&gt;&lt;/h1&gt;
&lt;h1 class="suggested-by"&gt;Wednesday, April 25, 2012, 6:30 PM&lt;/h1&gt;
&lt;/time&gt;&lt;/div&gt;
&lt;div class="clearfix event-stack-display"&gt;&lt;span class="event-map-link"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div id="event-where" class="event-stack event-where complete" data-id="712527" data-name="Microsoft Offices, 6th floor" data-address="1290 Avenue of the Americas&lt;br/&gt;&lt;span&gt;between 51st and 52nd Streets&lt;/span&gt;&lt;br/&gt;&lt;span&gt;New York&lt;/span&gt;, &lt;span&gt;NY&lt;/span&gt;"&gt;
&lt;div id="event-where-suggest" class="suggested-by"&gt;F# is a great language for developing business logic of an application, but it can be also used for elegantly expressing user interactions. In this talk, we&amp;rsquo;ll look at both sides of the coin. We&amp;rsquo;ll develop an (almost complete) application for a retail checkout counter.&lt;/div&gt;
&lt;/div&gt;
&lt;div id="event-desc" class="hover-to-edit-noposchange event-desc J_noBorderBottom"&gt;
&lt;div id="event-description-wrap" itemprop="description" class="line event-stack-display event-stack-display-no-padding"&gt;
&lt;p&gt;&lt;br /&gt; In the first part of the talk, we&amp;rsquo;ll start by looking at domain modeling &amp;ndash; using F# types like records and discriminated unions, you can write a domain model that fits on a single page. This makes it easier to understand the application just by looking at the source code. Once we have the domain model, we can implement functions of the business logic and add user interface. In the second part of the talk, we&amp;rsquo;ll look how to use F# asynchronous workflows to elegantly express interaction logic such as scanning products repeatedly and then completing the trade.&lt;/p&gt;
&lt;p&gt;Note From Rick: Please only register if you're sure you can make it. &amp;nbsp;We have very limited space and expect demand to be high.&lt;/p&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10293429" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Tomas+Petricek/">Tomas Petricek</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+New+York/">F# New York</category></item><item><title>TouchDevelop, from Microsoft Research</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/04/12/touchdevelop-from-microsoft-research.aspx</link><pubDate>Thu, 12 Apr 2012 03:31:32 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10292935</guid><dc:creator>dsyme</dc:creator><slash:comments>1</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10292935</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/04/12/touchdevelop-from-microsoft-research.aspx#comments</comments><description>&lt;p&gt;Last year, my wonderful peers in Microsoft Research developed the first versions of TouchDevelop, a touch-based programming environment.&lt;/p&gt;
&lt;p&gt;You can now find out all about TouchDevelop at the one big URL:&lt;/p&gt;
&lt;h1 style="text-align: center;"&gt;&lt;a href="http://www.touchdevelop.com/"&gt;www.touchdevelop.com&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;and follow them on Twitter at &lt;a href="http://twitter.com/#!/TouchDevelop"&gt;@touchdevelop&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;Well done to the whole TouchDevelop team, and to Microsoft Connections for supporting this project. I'm sure many great things are coming for TouchDevelop from here!&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10292935" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/TouchDevelop/">TouchDevelop</category></item><item><title>Is Javascript code always so full of bugs?</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/04/12/is-javascript-code-always-so-full-of-bugs.aspx</link><pubDate>Thu, 12 Apr 2012 01:22:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10292912</guid><dc:creator>dsyme</dc:creator><slash:comments>11</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10292912</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/04/12/is-javascript-code-always-so-full-of-bugs.aspx#comments</comments><description>&lt;p&gt;Slightly off topic... The "debugging options" got turned on in my browser recently. I think this happened when I was debugging some web code in Visual Studio.&lt;/p&gt;
&lt;p&gt;From this, it's been interesting to see how regularly my web browsing experience is now interrupted by what must surely be outright bugs in Javascript code. Very often these are null object errors. I've always been more than sceptical about Javascript as a language for writing reliable, correct, reusable, efficient code (something F# is obviously good at - and yes, &lt;a href="http://www.trelford.com/blog/post/fs2js.aspx"&gt;you can compile it to Javascript&lt;/a&gt;). But is this kind of bug really the new black?&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Separately, I've noticed an extremely disturbing increase in the number of "this web page is not responding" errors. A good time for &lt;a href="http://research.microsoft.com/en-us/um/cambridge/projects/terminator/papers.htm"&gt;those working on automated termination proofs&lt;/a&gt; to apply their talents to termination of Javascript code...&lt;/p&gt;
&lt;p&gt;What really surprises me is that basic code correctness issues such as programming-without-the-curse-of-nulls do not seem to feature on the minds of those on &lt;a href="http://channel9.msdn.com/Events/Lang-NEXT/Lang-NEXT-2012/Panel-Web-and-Cloud-Programming"&gt;the Lang.NEXT panel&lt;/a&gt;. I guess that when your language doesn't control nulls, you don't think its a problem.&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;&lt;img style="display: block; margin-left: auto; margin-right: auto;" 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" alt="" /&gt;&lt;/p&gt;
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" alt="" /&gt;&lt;/p&gt;
&lt;p&gt;Don&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10292912" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Javascript/">Javascript</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Termination+proofs/">Termination proofs</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Nulls/">Nulls</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Bugs/">Bugs</category></item><item><title>I'm Speaking at the Big Picture Seminar at NICTA, Canberra, Tomorrow</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/03/22/i-m-speaking-at-the-big-picture-seminar-at-nicta-canberra-tomorrow.aspx</link><pubDate>Thu, 22 Mar 2012 11:09:14 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10286334</guid><dc:creator>dsyme</dc:creator><slash:comments>3</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10286334</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/03/22/i-m-speaking-at-the-big-picture-seminar-at-nicta-canberra-tomorrow.aspx#comments</comments><description>&lt;p&gt;I'm taking a vacation "back home", and will be speaking at the Big Picture Seminar at NICTA, Canberra tomorrow lunchtime.&lt;/p&gt;
&lt;p&gt;If you're in Canberra, I hope to see you there, and if you're at NICTA I hope you can catch it on the web broadcast.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size: large;"&gt;&lt;strong&gt;Reconsidering Strongly-Typed Programming in the Information Rich World&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size: small;"&gt;NICTA Canberra Research Laboratory, Friday 23 March 2012, &lt;span style="font-family: Arial,Arial;" face="Arial,Arial" size="2"&gt;&lt;span style="font-family: Arial,Arial;" face="Arial,Arial" size="2"&gt;Registration: 12:15pm Seminar: 12:30pm &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-family: Arial,Arial; font-size: x-small;" face="Arial,Arial" size="2"&gt;&lt;span style="font-family: Arial,Arial; font-size: x-small;" face="Arial,Arial" size="2"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-family: Arial,Arial; font-size: small;" face="Arial,Arial" size="2"&gt;&lt;span style="font-family: Arial,Arial;" face="Arial,Arial" size="2"&gt;NICTA Seminar Room, Ground Floor, 7 London Circuit, Canberra &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-family: Arial,Arial; font-size: small;" face="Arial,Arial" size="2"&gt;&lt;span style="font-family: Arial,Arial;" face="Arial,Arial" size="2"&gt;The world is information rich, but why are our programming languages so information sparse? Especially our strongly typed languages? "Information Rich Programming" (IRP) is an emerging direction for strongly-typed language design and implementation, and the F# language is leading the way in this area. In this talk, we'll give an overview of the challenges of strongly-typed IRP against web data markets, semantic-web ontologies, databases and services. Are information spaces "just" libraries? Can we gives types to "everything", and if so, should we? We'll demonstrate what F# 3.0 offers in the area of IRP, but also highlight how information-richness makes us reconsider language design and take a look at the research problems and engineering challenges that come with the territory. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-family: Arial,Arial; font-size: small;" face="Arial,Arial" size="2"&gt;&lt;span style="font-family: Arial,Arial;" face="Arial,Arial" size="2"&gt;&lt;a href="http://www.nicta.com.au/nicta_events/big_picture"&gt;http://www.nicta.com.au/nicta_events/big_picture&lt;/a&gt; &amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-family: Arial,Arial; font-size: x-small;" face="Arial,Arial" size="2"&gt;&lt;span style="font-family: Arial,Arial; font-size: x-small;" face="Arial,Arial" size="2"&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10286334" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Talks/">F# Talks</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/NICTA/">NICTA</category></item><item><title>Next F# Seattle Meetup this Monday, March 26</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/03/22/next-f-seattle-meetup-this-monday-march-26.aspx</link><pubDate>Thu, 22 Mar 2012 00:27:14 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10286136</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10286136</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/03/22/next-f-seattle-meetup-this-monday-march-26.aspx#comments</comments><description>&lt;p&gt;The next F# Seattle Meetup is on this Monday!&lt;/p&gt;
&lt;p&gt;&lt;a href="http://www.meetup.com/FSharpSeattle/events/54784232/t/mr1p_grp/?rv=mr1p"&gt;F# PM Donna talks about F# 3.0 Beta&lt;/a&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;Modern programming thrives on rich spaces of data, information and services. F# 3.0 brings integrated support for Information Rich Programming to the .NET platform. F# Type Providers and F# Queries greatly simplify data-rich analytical programming, allowing programmers to easily access and manipulate a variety of data sources. In this meeting, the F# Program Manager, Donna Malayeri, will introduce these exciting new features and how they can be used to leverage technologies such as OData, WSDL services, and Windows Azure Marketplace.&lt;/p&gt;
&lt;h2&gt;F# Seattle User Group&lt;/h2&gt;
&lt;p&gt;Monday, March 26, 2012, 6:30 PM, Microsoft Building 32, 3620 163rd Avenue Northeast, Redmond, Wa 98052&lt;/p&gt;
&lt;p&gt;&lt;a href="http://www.meetup.com/FSharpSeattle/events/54784232"&gt;http://www.meetup.com/FSharpSeattle/events/54784232&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10286136" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+User+Groups/">F# User Groups</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Seattle/">F# Seattle</category></item><item><title>F# on Channel 9: Donna Malayeri - F# 3.0 - Information Rich Programming</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/03/19/f-on-channel-9-donna-malayeri-f-3-0-information-rich-programming.aspx</link><pubDate>Mon, 19 Mar 2012 23:53:04 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10285182</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10285182</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/03/19/f-on-channel-9-donna-malayeri-f-3-0-information-rich-programming.aspx#comments</comments><description>&lt;p&gt;The wonderful Donna Malayeri appears in &lt;a href="http://channel9.msdn.com/Blogs/Charles/C9-Lectures-Donna-Malayeri-F-30-Information-Rich-Programming-1-of-1"&gt;the latest F# Channel 9 Lecture on F# 3.0 Information Rich Programming&lt;/a&gt;.&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Modern programming thrives on rich spaces of data, information and services. F# 3.0 brings integrated support for Information Rich Programming to the .NET platform. F# Type Providers and F# Queries greatly simplify data-rich analytical programming, allowing programmers to easily access and manipulate a variety of data sources. In this lecture, &lt;strong&gt;Donna Malayeri&lt;/strong&gt;, F# Program Manager, introduces these exciting new features and how they can be used to leverage technologies such as OData, WSDL services, and Windows Azure Marketplace.&lt;/em&gt;&lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p style="text-align: center;"&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10285182" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Donna+Malayeri/">Donna Malayeri</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Channel+9/">Channel 9</category></item><item><title>F# as a Platform for Quantitative Finance: Thursday, March 22, SkillsMatter, London</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/03/19/f-as-a-platform-for-quantitative-finance-thursday-march-22-skillsmatter-london.aspx</link><pubDate>Mon, 19 Mar 2012 23:34:24 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10285176</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10285176</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/03/19/f-as-a-platform-for-quantitative-finance-thursday-march-22-skillsmatter-london.aspx#comments</comments><description>&lt;p&gt;&lt;span style="font-size: small;"&gt;This Thursday &lt;strong&gt;Adam Mlocek&lt;/strong&gt; of &lt;a href="http://statfactory.co.uk/"&gt;StatFactory&lt;/a&gt; will talk about using F# as a platform for quantitative development at the &lt;a href="http://www.meetup.com/FSharpLondon/"&gt;F#unctional Londoner's F# Meetup&lt;/a&gt;!&lt;/span&gt;&lt;/p&gt;
&lt;p class="headline"&gt;Thursday, March 22, 2012, 6:30 PM &lt;a title="" href="http://maps.google.com/maps?q=116-120+Goswell+Road%2C+London" target="_blank"&gt;The Skills Matter eXchange&lt;/a&gt;&amp;nbsp;116-120&amp;nbsp; Goswell Road, &lt;span&gt;EC1V 7DP, &lt;/span&gt;&lt;span&gt;London&lt;/span&gt; &lt;span class="event-map-link"&gt;(&lt;a href="http://maps.google.com/maps?q=116-120+Goswell+Road%2C+London" target="_blank"&gt;map&lt;/a&gt;)&lt;/span&gt;&lt;span class="event-map-link"&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size: small;"&gt;This will be followed by a set of lightning talks 15-30mins on F# related topics including&amp;nbsp;Kit Eason on an optimized actuarial calculation engine and Carl Nolan of Microsoft on F# Charting.You can post a brief title if you'd like to speak.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size: small;"&gt;Please also register for the event &lt;a href="http://skillsmatter.com/event/scala/fsharp-lightning-talks"&gt;on the Skills Matter site&lt;/a&gt;. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size: small;"&gt;About Adam:&lt;/span&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;span style="font-size: small;"&gt;Adam is the founder of StatFactory Ltd, a company dedicated to development of high performance numerical software with F# API. He holds a Master's degree in&amp;nbsp; Applied Mathematics and is a Microsoft Certified Professional Developer. Before &lt;/span&gt;&lt;span style="font-size: small;"&gt;his passion for .NET and numerics led him to becoming an entrepreneur, he worked&amp;nbsp; for 14 years in Sydney and London in both analytical and software development roles across banking, insurance, reinsurance and energy trading.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style="font-size: small;"&gt;F# Numerics:&lt;/span&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;span style="font-size: small;"&gt;In this talk Adam will show how F# allows us to write elegant .NET numerical code that runs on both CPU and GPU.&amp;nbsp; We will start with a short introduction to F# and GPU programming. Then we will look at F# implementation of multidimensional matrix library and compare it to Matlab&amp;reg;. Finally, we will go through 2 simple F#/Matlab&amp;reg; examples of calculating Pi and pricing a euro option by Monte Carlo on both CPU and GPU&lt;/span&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10285176" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+User+Groups/">F# User Groups</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Finance/">F# Finance</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/MATLAB/">MATLAB</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/StatFactory/">StatFactory</category></item><item><title>Visual F# 3.0 Beta now available in Visual Studio 11!</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/02/29/visual-f-3-0-beta-now-available-in-visual-studio-11.aspx</link><pubDate>Wed, 29 Feb 2012 23:59:52 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10275050</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10275050</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/02/29/visual-f-3-0-beta-now-available-in-visual-studio-11.aspx#comments</comments><description>&lt;p&gt;&amp;nbsp;Over on the F# team blog the Visual F# team have announced &lt;a href="http://blogs.msdn.com/b/fsharpteam/archive/2012/02/29/introducing-visual-f-3-0-beta.aspx"&gt;the availability of Visual F# 3.0 Beta now available in Visual Studio 11&lt;/a&gt;&amp;nbsp;!!&amp;nbsp; The announcement is included below.&lt;/p&gt;
&lt;p&gt;This release contains the new features described below, plus all the usual F# 1.0/2.0 goodness, plus F# 3.0 Information Rich Programming, which has been available in preview since September and was presented at &lt;a href="http://channel9.msdn.com/Events/BUILD/BUILD2011/SAC-904T"&gt;BUILD&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;The Visual F# team in Redmond have worked very hard on delivering these programming features, and congratulations to them for reaching this major milestone! It is a huge pleasure to be working with this &lt;strong&gt;wonderful&lt;/strong&gt; and &lt;strong&gt;incredibly dedicated&lt;/strong&gt; team.&lt;/p&gt;
&lt;p&gt;Speaking on behalf of the MSR side of the F# work,&amp;nbsp;I'd like to add&amp;nbsp;a big &amp;ldquo;thank you&amp;rdquo; to Keith Battocchi for his contribution to this release. Keith has been contracting for MSR Cambridge from Boston, preparing F# 3.0 IRP for release and helping to communicate it broadly.&amp;nbsp; Thanks also to Kenji Takeda, Matt Moloney, Evelyne Viegas and Vassily Lyutsarev for assistance with the broader agenda around Information Rich Programming.&lt;/p&gt;
&lt;p&gt;If you would like more information on how to learn and adopt F# as part of your work, please see &lt;a href="http://fsharp.net"&gt;http://fsharp.net&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;Enjoy!&lt;/p&gt;
&lt;p&gt;Don&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;As announced on &lt;a href="http://blogs.msdn.com/b/jasonz/archive/2012/02/29/welcome-to-the-beta-of-visual-studio-11-and-net-framework-4-5.aspx"&gt;Jason Zander&amp;rsquo;s blog&lt;/a&gt;, Visual Studio 11 Beta is now &lt;a href="http://go.microsoft.com/fwlink/p/?LinkId=240162"&gt;available for download&lt;/a&gt;! The release includes the Beta version of F# 3.0, which introduced &lt;a href="http://msdn.microsoft.com/en-us/library/hh370982(v=VS.110).aspx"&gt;F# Information Rich Programming&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;We have some new F# features to announce in this Beta release, including &lt;b&gt;portable library support&lt;/b&gt;, &lt;b&gt;enhancements to type providers&lt;/b&gt;, &lt;b&gt;improved IntelliSense&lt;/b&gt;, and an &lt;b&gt;AnyCPU version of FSI&lt;/b&gt;. We&amp;rsquo;ve also updated the &lt;a href="http://fsharp3sample.codeplex.com/"&gt;F# 3.0 sample pack&lt;/a&gt; for Beta.&lt;/em&gt;&lt;/p&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;/h4&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;em&gt;Portable Libraries&lt;/em&gt;&lt;/h4&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;F# now has support for &lt;a href="http://msdn.microsoft.com/en-us/library/gg597391.aspx"&gt;portable libraries&lt;/a&gt;, which allows you to create assemblies that work on more than one .NET platform, without requiring recompilation. You can put your analytical code in an F# portable library and reference it from a WPF, Silverlight 5, or Win8 Metro application.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;For example, you could create a spreadsheet program with both a Silverlight 5 and Metro front-end (see screenshots below). All of the spreadsheet logic, such as parsing and executing formulas, can be factored into an F# portable library, and the front-end projects contain only UI code.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;a href="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/7870.1_5F00_21D6699F.png"&gt;&lt;img style="border-width: 0px; padding-top: 0px; padding-right: 0px; padding-left: 0px; margin-right: auto; margin-left: auto; float: none; display: block; background-image: none;" title="1" border="0" alt="1" src="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/8078.1_5F00_thumb_5F00_1A4AFA32.png" width="315" height="114" /&gt;&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;" align="center"&gt;&lt;em&gt;Silverlight&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;a href="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/4452.2_5F00_72A47E07.png"&gt;&lt;img style="border-width: 0px; padding-top: 0px; padding-right: 0px; padding-left: 0px; margin-right: auto; margin-left: auto; float: none; display: block; background-image: none;" title="2" border="0" alt="2" src="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/5751.2_5F00_thumb_5F00_7957878A.png" width="315" height="101" /&gt;&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;" align="center"&gt;&lt;em&gt;Metro&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Like the example? We&amp;rsquo;ll soon be publishing the source code to &lt;a href="http://codeplex.codeplex.com"&gt;Codeplex&lt;/a&gt;&amp;mdash;stay tuned for details.&lt;/em&gt;&lt;/p&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;/h4&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;em&gt;Type Providers&lt;/em&gt;&lt;/h4&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;On the type provider front, we&amp;rsquo;ve improved our New Item templates for type providers. There are templates for a &lt;a href="http://msdn.microsoft.com/en-us/library/hh361035(v=vs.110).aspx"&gt;SQL database connection&lt;/a&gt; (using either LINQ to SQL or LINQ to &lt;a name="_GoBack"&gt;&lt;/a&gt;Entities), an &lt;a href="http://msdn.microsoft.com/en-us/library/hh156504(v=VS.110).aspx"&gt;OData&lt;/a&gt; connection, or a &lt;a href="http://msdn.microsoft.com/en-us/library/hh156503(v=vs.110).aspx"&gt;WSDL&lt;/a&gt;connection. If you&amp;rsquo;re new to type providers, these templates are a great way to get started.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;The WSDL type provider now supports configuration files and named endpoints, to handle the case when one service offers multiple endpoints. Most of the providers also have the parameters &lt;strong&gt;ConnectionString &lt;/strong&gt;and &lt;strong&gt;ConnectionStringName&lt;/strong&gt; which let you use configuration files more easily. There are also additional parameters that make it easier to work with relative directories.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;We&amp;rsquo;ve also made type providers easier to use. The built-in type providers no longer require the &amp;ldquo;[&amp;lt;Generate&amp;gt;]&amp;rdquo; attribute, and now you can clear a type provider&amp;rsquo;s cache by cleaning the project or closing the script file.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;For type provider authors, we&amp;rsquo;ve expanded the set of language constructs that are supported in provided members, such as lambdas. This was made possible by changing the type provider infrastructure to use Microsoft.FSharp.Quotations.Exprs rather than System.Linq.Expressions.&lt;/em&gt;&lt;/p&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;/h4&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;em&gt;IDE&lt;/em&gt;&lt;/h4&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;In this release, we&amp;rsquo;ve added even more IntelliSense enhancements&amp;mdash;in addition to the ones you&amp;rsquo;ve already seen, such as parameter help. IntelliSense now does more context-sensitive filtering (for instance, after the &lt;strong&gt;inherit &lt;/strong&gt;keyword), and now supports camel-case filtering. For instance, &lt;strong&gt;Console.WL&lt;/strong&gt; will auto-complete to &lt;strong&gt;Console.WriteLine&lt;/strong&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Type providers don&amp;rsquo;t always provide IntelliSense immediately&amp;mdash;such as when querying a web service&amp;mdash;so in these situations, the IDE will show a progress icon, as in the screenshots below:&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;a href="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/7558.clip_5F00_image006_5F00_1B7E8B0B.jpg"&gt;&lt;img style="border-width: 0px; padding-top: 0px; padding-right: 0px; padding-left: 0px; display: inline; background-image: none;" title="clip_image006" border="0" alt="clip_image006" src="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/3252.clip_5F00_image006_5F00_thumb_5F00_501EE746.jpg" width="144" height="83" /&gt;&lt;/a&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;a href="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/2678.clip_5F00_image008_5F00_56D1F0C9.jpg"&gt;&lt;img style="border-width: 0px; padding-top: 0px; padding-right: 0px; padding-left: 0px; display: inline; background-image: none;" title="clip_image008" border="0" alt="clip_image008" src="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/1106.clip_5F00_image008_5F00_thumb_5F00_1AA62521.jpg" width="117" height="79" /&gt;&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;/h4&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;em&gt;FSI AnyCPU&lt;/em&gt;&lt;/h4&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;The F# Interactive executable (FSI.exe), is a 32-bit program, so only 32-bit assemblies can be used in it. Since 64-bit assemblies are becoming more common (such as in the new &lt;a href="http://www.microsoft.com/en-us/sqlazurelabs/labs/numerics.aspx"&gt;Cloud Numerics library&lt;/a&gt;), we have created an AnyCPU version of FSI, which is located in &amp;ldquo;C:\Program Files (x86)\Microsoft SDKs\F#\3.0\Framework\v4.0\FsiAnyCPU.exe&amp;rdquo; by default. To use this version of FSI, set a different path in the F# Tools options:&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;a href="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/2248.image_5F00_3F7E8045.png"&gt;&lt;img style="border-width: 0px; padding-top: 0px; padding-right: 0px; padding-left: 0px; margin-right: auto; margin-left: auto; float: none; display: block; background-image: none;" title="image" border="0" alt="image" src="http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-01-39-71-metablogapi/3324.image_5F00_thumb_5F00_3F124D50.png" width="438" height="258" /&gt;&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;/h4&gt;
&lt;h4 style="padding-left: 30px;"&gt;&lt;em&gt;Resources&lt;/em&gt;&lt;/h4&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;You can install Visual Studio 11 Beta on Windows 7 to get up and running quickly, or set it up on top of the &lt;a href="http://go.microsoft.com/fwlink/?LinkID=239723"&gt;Windows 8 Consumer Preview&lt;/a&gt;, which has also just been released. Read more about F# 3.0 features in the &lt;a href="http://blogs.msdn.com/b/fsharpteam/archive/2011/09/14/f-3-0-developer-preview-now-available.aspx"&gt;blog post from the Developer Preview release&lt;/a&gt;. Be sure to check out some of our &lt;a href="http://msdn.microsoft.com/en-us/fsharp/ff759495.aspx"&gt;videos&lt;/a&gt;, the &lt;a href="http://fsharp3sample.codeplex.com/"&gt;F# 3.0 Sample Pack&lt;/a&gt;, or the &lt;a href="http://www.fsharp.net"&gt;F# Developer Center&lt;/a&gt;. As always, &lt;a href="http://visualstudio.uservoice.com/forums/121579-visual-studio/category/30935-f-"&gt;we look forward to your feedback&lt;/a&gt;&amp;mdash;post on the &lt;a href="http://social.msdn.microsoft.com/Forums/en-US/fsharpgeneral/threads"&gt;F# forums&lt;/a&gt; or &lt;a href="http://visualstudio.uservoice.com/forums/121579-visual-studio/category/30935-f-"&gt;UserVoice&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Donna Malayeri&lt;/em&gt;&lt;br /&gt;&lt;em&gt;Visual Studio F# Program Manager&lt;/em&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10275050" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Visual+Studio/">Visual Studio</category></item><item><title>Next Seattle F# Meetup, Tuesday Feb 21, 2012</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/02/16/next-seattle-f-meetup-tuesday-feb-21-2012.aspx</link><pubDate>Thu, 16 Feb 2012 11:58:41 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10268573</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10268573</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/02/16/next-seattle-f-meetup-tuesday-feb-21-2012.aspx#comments</comments><description>&lt;h3 class="post-title entry-title"&gt;Seattle F# user group meeting Feb 21, 2012&lt;/h3&gt;
&lt;div class="post-header"&gt;
&lt;div class="post-header-line-1"&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;div id="post-body-6924536954183036480" class="post-body entry-content"&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;Tuesday, February 21, 2012, 6:00 PM. &lt;a title="Lat: 47.641712 / Lon: -122.140670" href="http://maps.google.com/maps?q=@47.641712,-122.140670" target="_blank"&gt;Microsoft Building 99&lt;/a&gt;, Room 1919-C, &lt;span&gt;Redmond&lt;/span&gt;, &lt;span&gt;WA&lt;/span&gt; &lt;span class="event-map-link"&gt;(&lt;a href="http://maps.google.com/maps?q=@47.641712,-122.140670" target="_blank"&gt;map&lt;/a&gt;) &lt;/span&gt;&lt;span itemprop="latitude"&gt;47.641712&lt;/span&gt; &lt;span itemprop="longitude"&gt;-122.140670&lt;/span&gt;&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;&lt;br /&gt;As&amp;nbsp;with the previous meetup, we have two sessions + one tiny program contest:&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;&lt;strong&gt;Ryan Riley&amp;nbsp; (F# MVP) &lt;/strong&gt;&lt;strong&gt;: Web Apps and APIs with F# &lt;/strong&gt;&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;Most .NET web applications today use &lt;a style="color: #3987cb; text-decoration: none; cursor: pointer;" href="http://asp.net/" target="_blank"&gt;ASP.NET&lt;/a&gt; WebForms or MVC. However,&amp;nbsp;several F# libraries offer new ways to build web APIs and applications help&amp;nbsp;reduce code and offer better abstractions, especially for single-page applications (SPA). We'll start with an existing web application written in C# using both WebForms and MVC and transition first to a F# application that follows the same patterns, then transition again to using several tools that expose the additional power offered by F#.&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;&lt;br /&gt;&lt;strong&gt;F# team member Jack Hu (MSFT)&lt;/strong&gt;&lt;strong&gt;: F#, The American Dream&lt;/strong&gt;&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;Since F# became a first-class programming language in Visual Studio 2010, it has been gaining popularity among the financial and scientific communities. In this talk, we will showcase several F# applications in the context of financial investments. We will highlight F#'s value propositions, through the themes of simplicity, powerfulness and programmer satisfaction. We'll also take a look at current industry adoptions, who uses F# and what they gain from it. The majority of the talk will be slightly technical and look at some of innovative aspects of F# 3.0 that help to simplify programming and achieve great results ' F# 3.0 typeProvider ' F# 3.0 Query ' FsharpChart ' .Net Integration ' Async programming ' Units of measure ' TryFsharp.net&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;&amp;nbsp;&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;&lt;strong&gt;F# programming contest&lt;/strong&gt;&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;question will be disclosed at end of the meeting and winner will be announced at the next meeting.&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;&amp;nbsp;&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;Special thanks to &lt;strong&gt;Chris Brockett&lt;/strong&gt; from MSR for reserving a nice place for this meeting!&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;&amp;nbsp;&lt;/div&gt;
&lt;div style="padding: 0px; color: #272727; line-height: 18px; font-family: verdana, arial, sans-serif; font-size: 14px; margin-bottom: 0.7em; background-color: #e6e6e6;"&gt;&lt;strong&gt;MSR (Microsoft building 99, room 1919-C)&lt;/strong&gt;&lt;/div&gt;
&lt;/div&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10268573" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+User+Groups/">F# User Groups</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Web+Programming/">F# Web Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Seattle/">Seattle</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Jack+Hu/">Jack Hu</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Ryan+Riley/">Ryan Riley</category></item><item><title>Functional Programming eXchange 2012, March 16, 2012, London</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/02/14/functional-programming-exchange-2012-march-16-2012-london.aspx</link><pubDate>Tue, 14 Feb 2012 10:52:42 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10267648</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10267648</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/02/14/functional-programming-exchange-2012-march-16-2012-london.aspx#comments</comments><description>&lt;p&gt;The folks at SkillsMatter in London are hosting the &lt;a href="http://skillsmatter.com/event/scala/functional-programming-exchange-2012/ac-3551"&gt;Functional Programming eXchange 2012,&lt;/a&gt; on March 16, 2012, in London!&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Join the Functional Programming community for a one-day conference jam-packed with talks, open-space discussions and brainstorming. Learn and share the latest innovative ideas, best tools and practices in the different languages (scala, clojure, haskell, F#) and environments. Read the full programme and book tickets &lt;a href="http://skillsmatter.com/event/scala/functional-programming-exchange-2012/ac-3551"&gt;here.&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;b&gt;What:&lt;/b&gt; &lt;a href="http://skillsmatter.com/event/scala/functional-programming-exchange-2012/ac-3551"&gt;Functional Programming eXchange 2012&lt;/a&gt;&lt;/em&gt;&lt;br /&gt;&lt;br /&gt;&lt;em&gt;&lt;b&gt;When:&lt;/b&gt; March 16th 2012, Breakfast and registration at 8.30&lt;/em&gt;&lt;br /&gt;&lt;br /&gt;&lt;em&gt;&lt;b&gt;Where:&lt;/b&gt; Skills Matter, 116-120 Goswell Road, London, EC1V 7DP&lt;/em&gt;&lt;br /&gt;&lt;br /&gt;&lt;em&gt;&lt;b&gt;Twitter:&lt;/b&gt; #functionalpx&lt;/em&gt;&lt;br /&gt;&lt;br /&gt;&lt;em&gt;&lt;b&gt;Program and tickets:&lt;/b&gt; &lt;a href="http://bit.ly/DSFunpx"&gt;http://bit.ly/DSFunpx&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&amp;nbsp;&lt;span style="font-family: 'Times New Roman','serif'; font-size: 12pt; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-fareast-language: EN-GB; mso-ansi-language: EN-GB; mso-bidi-language: AR-SA;"&gt;&lt;a href="http://skillsmatter.com/event/scala/functional-programming-exchange-2012/ac-3551"&gt;&lt;span style="color: blue; text-decoration: none; text-underline: none;"&gt;&lt;img id="_x0000_i1025" border="0" src="http://skillsmatter.com/custom/images/functionalpx-300x250.png" /&gt;&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;Enjoy!&lt;/p&gt;
&lt;p&gt;Don&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10267648" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/FSharp+Programming/">FSharp Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Haskell/">Haskell</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Functional+Programming/">Functional Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Clojure/">Clojure</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Scala/">Scala</category></item><item><title>F#/C# Contract Position for Silverlight/HTML 5 User Interface Development at Microsoft Research, Cambridge, UK </title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/30/f-contract-position-for-silverlight-html-5-user-interface-development-at-microsoft-research-cambridge-uk.aspx</link><pubDate>Mon, 30 Jan 2012 17:32:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10261794</guid><dc:creator>dsyme</dc:creator><slash:comments>3</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10261794</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/30/f-contract-position-for-silverlight-html-5-user-interface-development-at-microsoft-research-cambridge-uk.aspx#comments</comments><description>&lt;p&gt;Microsoft Research Cambridge has available a 6-month contract position for development of web-based user interfaces for designing and simulating computer models of biological systems. We are looking for an experienced and highly-motivated individual to produce easy-to-use interfaces for the software tools developed by our Computational Science Lab. The aim of the post is to produce user interfaces to simplify and encourage the trial and adoption of our research prototypes within the wider research community, and the initial focus of the work will be on software for Biological Computation (&lt;a href="http://research.microsoft.com/biology"&gt;http://research.microsoft.com/biology&lt;/a&gt;).&lt;/p&gt;
&lt;p&gt;The user interfaces will be for a family of modelling languages, which are being used in a number of key scientific projects, from building computational circuits in DNA (&lt;a href="http://research.microsoft.com/dna"&gt;http://research.microsoft.com/dna&lt;/a&gt;), to genetic engineering of living cells (&lt;a href="http://research.microsoft.com/gec"&gt;http://research.microsoft.com/gec&lt;/a&gt;), to understanding and predicting the response of the human immune system (&lt;a href="http://research.microsoft.com/spim"&gt;http://research.microsoft.com/spim&lt;/a&gt;). The candidate will be working in an exciting new field at the intersection of computer science and biology, and the results of the project could potentially have an impact on a broad community of researchers, both in academia and industry.&lt;/p&gt;
&lt;p&gt;The first phase of the project will involve investigating the feasibility of translating existing computational modelling software from Silverlight to HTML5, with the help of existing translation tools such as Websharper (&lt;a href="http://www.websharper.com/"&gt;http://www.websharper.com&lt;/a&gt;) and Sharpkit (&lt;a href="http://sharpkit.net"&gt;http://sharpkit.net&lt;/a&gt;).&lt;/p&gt;
&lt;p class="Default"&gt;The second phase of the project will involve investigating the feasibility of translating a Silverlight visual editor to HTML5. The visual editor relies on a C# library for graph layout, developed within Microsoft Research (&lt;a href="http://research.microsoft.com/msagl"&gt;http://research.microsoft.com/msagl&lt;/a&gt;). There is also an opportunity to extend the C# library to improve its visual editing capabilities.&lt;/p&gt;
&lt;p&gt;This is an exciting opportunity to work at the intersection of cutting-edge software development, visual programming language design, and research into computational modelling of complex natural systems The&amp;nbsp; candidate must be willing to work in Cambridge, UK, and the contract is for 6 months with the possibility of extending this to 2 years. Interested candidates should contact Andrew Phillips (&lt;a href="mailto:firstname.lastname@microsoft.com"&gt;firstname.lastname@microsoft.com&lt;/a&gt;) with a CV. The start date is flexible, however the position is available from February 2012.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Duration:&lt;/b&gt; 6 months&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Location:&lt;/b&gt; Cambridge, UK&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Required skills:&lt;/b&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;HTML5, Silverlight, WPF, C# programming&lt;/li&gt;
&lt;li&gt;User interface development&lt;/li&gt;
&lt;li&gt;Ability to capture user requirements and translate these into easy-to-use tools&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;b&gt;Additional desired skills:&lt;/b&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Knowledge of automatic graph layout algorithms&lt;/li&gt;
&lt;li&gt;Experience in developing visual editors&lt;/li&gt;
&lt;li&gt;Experience in F# programming&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10261794" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Jobs/">F# Jobs</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/SPIM/">SPIM</category></item><item><title>First F# Seattle Meetup This Saturday, Redmond</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/25/first-f-seattle-meetup-this-saturday-redmond.aspx</link><pubDate>Wed, 25 Jan 2012 09:42:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10260456</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10260456</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/25/first-f-seattle-meetup-this-saturday-redmond.aspx#comments</comments><description>&lt;p&gt;The first F# Seattle Meetup has been announced! It will be held this Saturday, on the Microsoft campus in Redmond.&lt;/p&gt;
&lt;p&gt;&lt;a href="http://www.meetup.com/FSharpSeattle/events/49365112/"&gt;http://www.meetup.com/FSharpSeattle/events/49365112/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Sign up&amp;nbsp;at &lt;a href="http://www.meetup.com/FSharpSeattle/events/"&gt;http://www.meetup.com/FSharpSeattle/events/&lt;/a&gt; for full details of this and future events.&lt;/p&gt;
&lt;p&gt;Don&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;In this first meeting, we will introduce F# and the new features in F# 3.0 and how to use F# in the daily programming tasks.&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;strong&gt;F# Introduction and 3.0 New Features&lt;/strong&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;strong&gt;Saturday, January 28, 2012, 2:30 PM&lt;/strong&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;strong&gt;&lt;span style="color: #ff0000;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Microsoft building &lt;span style="font-size: x-large;"&gt;32&lt;/span&gt;&lt;/span&gt; - Room 1027&lt;/strong&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;strong&gt;3620 163rd Avenue NE, Redmond, WA 98052&lt;/strong&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;strong&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;img style="margin: 5px; float: left; max-height: 700px; max-width: 700px;" src="http://photos3.meetupstatic.com/photos/event/b/3/7/6/event_88365942.jpeg" /&gt;&lt;/strong&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10260456" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+User+Groups/">F# User Groups</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Seattle/">Seattle</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Redmond/">Redmond</category></item><item><title>London F# Meetup Group this Thursday: Pacman Kata</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/24/london-f-meetup-group-this-thursday-pacman-kata.aspx</link><pubDate>Tue, 24 Jan 2012 14:44:34 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10260059</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10260059</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/24/london-f-meetup-group-this-thursday-pacman-kata.aspx#comments</comments><description>&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;This Thursday, January 26, the &lt;a href="http://www.meetup.com/FSharpLondon/"&gt;F#unctional Londoners&lt;/a&gt; are &lt;a href="http://www.meetup.com/FSharpLondon/events/45961772/"&gt;holding an event to help you improve your F# coding skills&lt;/a&gt;! (This event may or may not be in celebration of &lt;a href="http://en.wikipedia.org/wiki/Australia_Day"&gt;Australia Day&lt;/a&gt; and &lt;a href="http://en.wikipedia.org/wiki/Republic_Day_(India)"&gt;India's Republic Day&lt;/a&gt; - you decide!)&lt;/p&gt;
&lt;p&gt;This event will be a &lt;a href="http://en.wikipedia.org/wiki/Kata_(programming)"&gt;coding kata&lt;/a&gt;.&amp;nbsp;&amp;nbsp; If you don't know what this is, here's the description from Wikipedia:&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;&lt;b&gt;Code Kata&lt;/b&gt; is a term coined by &lt;a title="Dave Thomas (programmer)" href="http://blogs.msdn.com/wiki/Dave_Thomas_(programmer)"&gt;Dave Thomas&lt;/a&gt;, co-author of the book &lt;a title="The Pragmatic Programmer" href="http://blogs.msdn.com/wiki/The_Pragmatic_Programmer"&gt;The Pragmatic Programmer&lt;/a&gt;, in a bow to the Japanese concept of &lt;a class="mw-redirect" title="Kata (martial arts)" href="http://blogs.msdn.com/wiki/Kata_(martial_arts)"&gt;kata&lt;/a&gt; in the martial arts. A code kata is an exercise in programming which helps a programmer hone their skills through practice and repetition.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;Here's the story for the event:&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Pacman finds himself in a grid filled with monsters. Will he be able to eat all the dots on the board before the monsters eat him?&lt;/em&gt;&lt;/p&gt;
&lt;ul style="padding-left: 60px;"&gt;
&lt;li style="padding-left: 30px;"&gt;&lt;em&gt;pacman is on a grid filled with dots&lt;/em&gt;&lt;/li&gt;
&lt;li style="padding-left: 30px;"&gt;&lt;em&gt;pacman eats dots&lt;/em&gt;&lt;/li&gt;
&lt;li style="padding-left: 30px;"&gt;&lt;em&gt;pacman stops on walls&lt;/em&gt;&lt;/li&gt;
&lt;li style="padding-left: 30px;"&gt;&lt;em&gt;ghosts follow pacman...&lt;/em&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;The &lt;a href="http://skillsmatter.com/user-group/home/london-f-sharp-user-group"&gt;F#unctional Londonders Meetup Group&lt;/a&gt; starts 2012 with a&amp;nbsp;hands-on coding Kata by implementing Pacman. This session is suitable for people new to F# who'd like to learn more and for more experienced F# developers looking to practice their skills. See also: &lt;a href="http://codingdojo.org/cgi-bin/wiki.pl?KataPacMan"&gt;http://codingdojo.org/cgi-bin/wiki.pl?KataPacMan&lt;/a&gt;&amp;nbsp;for more info, and be sure to register your attendance here: &lt;a href="http://skillsmatter.com/podcast/home/pacman-kata/js-2040"&gt;http://skillsmatter.com/podcast/home/pacman-kata/js-2040&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Don&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10260059" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+User+Groups/">F# User Groups</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Kata/">Kata</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Pacman/">Pacman</category></item><item><title>F# 3.0 at TechDays France, Feb 7, Paris! </title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/22/f-3-0-at-techdays-france-feb-7-paris.aspx</link><pubDate>Sun, 22 Jan 2012 17:43:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10259411</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10259411</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/22/f-3-0-at-techdays-france-feb-7-paris.aspx#comments</comments><description>&lt;p&gt;Just to mention that there will be a talk on F# 3.0 at TechDays France in&amp;nbsp;Paris, on February 7, at 4pm.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;F# 3.0: data, services, Web, cloud, at your fingertips (LAN209)&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;You can find all the details here: &lt;a href="http://www.microsoft.com/france/mstechdays/programmes/parcours.aspx#SessionID=50dbf05c-e3fd-4129-b5d9-c2b458236728"&gt;http://www.microsoft.com/france/mstechdays/programmes/parcours.aspx#SessionID=50dbf05c-e3fd-4129-b5d9-c2b458236728&lt;/a&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Modern programming thrives on rich spaces of data, information and services. With F# 3.0 and Visual Studio 11, you now have a tool that massively simplifies information-rich analytical programming. F# 3.0 provides integrated support for F# Information Rich Programming, a new and powerful way of integrating data and services into your programming experience. In this talk, we will describe the new features of F# 3.0, including the first released version of F# Type Providers and F# Queries, with apps to leverage technologies such as SharePoint, Azure Data Market, OData, Entity Framework and SQL Server.&lt;/em&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10259411" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Talks/">F# Talks</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Paris/">Paris</category></item><item><title>F#, WebSharper, JavaScript, HTML5, Mobile etc.</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/22/websharper-javascript-html5-mobile-etc.aspx</link><pubDate>Sun, 22 Jan 2012 17:03:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10259404</guid><dc:creator>dsyme</dc:creator><slash:comments>1</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10259404</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/22/websharper-javascript-html5-mobile-etc.aspx#comments</comments><description>&lt;p&gt;I'm catching up on blogging about what's been going on in F# lately.&lt;/p&gt;
&lt;p&gt;One thing that happened over the vacation is that the F# HTML5/Mobile development tool called &lt;a href="http://www.websharper.com"&gt;WebSharper&lt;/a&gt;&amp;nbsp;is now open source, and free for use for open source projects (&lt;a href="http://websharper.com"&gt;details on the site&lt;/a&gt;). There is also a community project called &lt;a href="http://pitfw.posterous.com/"&gt;Pit&lt;/a&gt;&amp;nbsp;(&lt;a href="https://github.com/fsharp/pitfw/"&gt;also on github&lt;/a&gt;)&amp;nbsp;which compiles F# to JavaScript, and which I'll write about separately. You can use&amp;nbsp;these today in conjunction with F# 2.0 in Visual Studio 2010. With WebSharper there is ASP.NET integration as well, and add-ons to target extra web/HTML5/mobile functionality.&lt;/p&gt;
&lt;p&gt;If you don't know about WebSharper, &lt;a href="http://www.websharper.com"&gt;the website is here&lt;/a&gt;. The guys behind the project call WebSharper "the world's most versatile web and mobile development platform".&lt;/p&gt;
&lt;p&gt;As we all know, there is a growing amount of activity in compiling languages to JavaScript, e.g. languages like &lt;a href="http://www.dartlang.org/"&gt;Dart&lt;/a&gt;.&amp;nbsp;Now, compiling-to-JavaScript is not functionality Microsoft include with F# 2.0 or 3.0. But personally I think its great to see&amp;nbsp;the F# community compiling F# to JavaScript with both &lt;a href="http://websharper.com/"&gt;WebSharper&lt;/a&gt; and&amp;nbsp;&lt;a href="http://pitfw.posterous.com/"&gt;Pit&lt;/a&gt;. It seems like this is an area where the community will be really active.&lt;/p&gt;
&lt;p&gt;And I can see why. When you do JavaScript/HTML5/mobile programming with F# as the development language, you get the usual F# goodness: strong typing, full intellisense, type inference, asynchrony, pattern matching, Visual Studio development, units of measure, ... and the power of a modern typed functional programming language. You also get the performance and functionality of .NET for the portion of your code that runs on the server side. No need to use NodeJS on the server to get a homogeneous language across client/server. And no need to wait&amp;nbsp;for new languages.&amp;nbsp; Indeed, this is related to&amp;nbsp;&lt;a href="http://tomasp.net/projects/fswebtools.aspx"&gt;the research&amp;nbsp;vision pursued by Tomas Petricek&lt;/a&gt; when he first got involved in F# back in 2006.&lt;/p&gt;
&lt;p&gt;Furthermore, on the server-side you get the&amp;nbsp;option of cloud integration, including the Azure technologies for &lt;a href="http://www.windowsazure.com/en-us/develop/"&gt;ASP.NET&lt;/a&gt;, &lt;a href="https://www.hadooponazure.com/"&gt;Hadoop on Azure&lt;/a&gt;&amp;nbsp;and &lt;a href="http://blogs.msdn.com/b/cloudnumerics/archive/2012/01/16/cloud-numerics-example-distributed-numerics-on-azure-with-f.aspx"&gt;Cloud Numerics&lt;/a&gt;, and emerging tools like &lt;a href="http://m-brace.net/"&gt;M-Brace&lt;/a&gt;. This gives homogeneous strongly-typed programming with a modern, high-productivity functional langauge, all the way from device to cloud, and encompassing the traditional enterprise along the way.&lt;/p&gt;
&lt;p&gt;Equally, I can see the attraction of other techniques for the device UI, and that would be our normal recommendation for F# in the absence of WebSharper and Pit. HTML5 and JavaScript are themselves a great ecosystem. And you can use standard JavaScript/HTML5 (or CoffeeScript/HTML5) over F#-implemented services on the server-side. The &lt;a href="http://bloggemdano.blogspot.com/"&gt;F# MVP Dan Mohl&lt;/a&gt; has been tweeting and blogging about those possibilities a lot lately.&lt;/p&gt;
&lt;p&gt;My personal belief is that JavaScript/HTML5 progrmaming will, over time, trend towards a range of languages which will support homogeneous client/server programming. JavaScript itself is and will remain huge. But it seems we're sure to continue to see typed languages that compile to both JavaScript and .NET/JVM/....&amp;nbsp;(GWT, Opa etc.)&amp;nbsp;&amp;nbsp;If you look at these kinds of languages, it seems to me that F# is nicely set up to play well in this space over the long term. F#&amp;nbsp;is a succinct modern language, and&amp;nbsp;logically speaking the language is relatively independent of .NET. Also,&amp;nbsp;perhaps somewhat surprisingly,&amp;nbsp;F# translates quite nicely to JavaScript, and indeed is quite similar to JavaScript in its focus on things like functional-first programming and&amp;nbsp;asynchrony.&lt;/p&gt;
&lt;p&gt;So, is F# "just" a .NET language? If you ask the F# community, it encompasses HTML5 and JavaScript as well. And certainly F# is an ASP.NET and Cloud language, through .NET, and for&amp;nbsp;my day-to-day work&amp;nbsp;my focus is on compiling F# to .NET and other implementations of the CLI (well, I'm very much focused on the wonderful new features for F# 3.0 available in the &lt;a href="http://msdn.microsoft.com/en-us/vstudio/hh127353"&gt;Visual Studio 11 Developer Preview&lt;/a&gt;). But the community seem to be taking F# to JavaScript/HTML5, and indeed F# was very much designed with this kind of flexibility in mind.&lt;/p&gt;
&lt;p&gt;In any case, I like the idea that a language like F# is a living thing and that the community are doing things along these lines. Through making and using these tools they are taking F# to important places.&lt;/p&gt;
&lt;p&gt;Don&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10259404" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/HTML5/">HTML5</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Web+Programming/">F# Web Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Javascript/">Javascript</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Mobile/">Mobile</category></item><item><title>F# Training in London in January and February: Functional Programming in .NET and Real World F# Programming</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/21/f-training-in-london-in-january-and-february-functional-programming-in-net-and-real-world-f-programming.aspx</link><pubDate>Sat, 21 Jan 2012 18:06:22 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10259261</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10259261</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/21/f-training-in-london-in-january-and-february-functional-programming-in-net-and-real-world-f-programming.aspx#comments</comments><description>&lt;p&gt;Is it time to learn something new?&lt;/p&gt;
&lt;p&gt;Training is key to growing F# adoption and understanding in your enterprise, as well as increasing the skillbase of your C# and other programmers mroe generally.&lt;/p&gt;
&lt;p&gt;Here are some links to F# training courses in London in January and February, from the wonderful Tomas Petricek and Phil Trelford&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Functional Programming in .NET&lt;/strong&gt; (in London on &lt;strong&gt;30 January&lt;/strong&gt; and &lt;strong&gt;16 April&lt;/strong&gt;)&lt;br /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; The course is designed for developers with some C# background who want to become better programmers and learn F# on the side.&amp;nbsp;&amp;nbsp;&amp;nbsp; For booking, &lt;a href="http://skillsmatter.com/course/scala/functional-programming-in-dot-net/dh-2239"&gt;visit SkillsMatter web site&lt;/a&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; or &lt;a href="mailto:tomas@tomasp.net?subject=F%23 Courses"&gt;contact&amp;nbsp;them directly&lt;/a&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Real-World F# Programming&lt;/strong&gt; (in London on &lt;strong&gt;8 February&lt;/strong&gt; and &lt;strong&gt;11 June&lt;/strong&gt;)&lt;br /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; The course is designed for people with some existing F# experience. It focuses on the most applications of&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; F#, including data processing, asynchronous and concurrent programming.&amp;nbsp;&amp;nbsp;&amp;nbsp; For booking, &lt;a href="http://skillsmatter.com/course/scala/real-world-f-programming/dh-2239"&gt;visit SkillsMatter web site&lt;/a&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; or &lt;a href="mailto:tomas@tomasp.net?subject=F%23 Courses"&gt;contact&amp;nbsp;them directly&lt;/a&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Don&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10259261" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Education/">F# Education</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Training/">F# Training</category></item><item><title>Microsoft Releases Local, Distributed and Cloud Numerics Library, with F# Samples</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/21/microsoft-releases-local-distributed-and-cloud-numerics-library-with-f-samples.aspx</link><pubDate>Sat, 21 Jan 2012 18:00:39 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10259259</guid><dc:creator>dsyme</dc:creator><slash:comments>0</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10259259</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/21/microsoft-releases-local-distributed-and-cloud-numerics-library-with-f-samples.aspx#comments</comments><description>&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;At last, Microsoft have released its long awaited &lt;a href="http://www.microsoft.com/en-us/sqlazurelabs/labs/numerics.aspx"&gt;Cloud Numerics&lt;/a&gt;&amp;nbsp;library!!! A&amp;nbsp;huge congratulations to the &lt;a href="http://blogs.msdn.com/b/cloudnumerics"&gt;Cloud Numerics team&lt;/a&gt;&amp;nbsp;(follow their blog!), and I encourage everyone in the F# community to be looking at the use of these wonderful technologies together.&lt;/p&gt;
&lt;p&gt;The recently announced library is a great fit for F# analytical computing. The Cloud Numerics team &lt;a href="http://blogs.msdn.com/b/cloudnumerics/archive/2012/01/16/cloud-numerics-example-distributed-numerics-on-azure-with-f.aspx"&gt;have posted some examples&lt;/a&gt; of how to use this library in F#, and learn how to do &lt;a href="http://blogs.msdn.com/b/cloudnumerics/archive/2012/01/16/cloud-numerics-example-distributed-numerics-on-azure-with-f.aspx"&gt;distributed numerics on Azure with F#&lt;/a&gt;.&lt;/p&gt;
&lt;p style="padding-left: 30px;" class="ExternalClassBFC135FD93C646A0BA3A00FE4661CBAD"&gt;&lt;em&gt;This post walks through the steps required to use the &amp;ldquo;Cloud Numerics&amp;rdquo; distributed numerical and data analytics library from F#. While the &amp;ldquo;Cloud Numerics&amp;rdquo; lab focuses on C#, a few additional setup steps enable you to:&lt;/em&gt;&lt;/p&gt;
&lt;ul style="padding-left: 30px;"&gt;
&lt;li&gt;
&lt;div class="ExternalClassBFC135FD93C646A0BA3A00FE4661CBAD"&gt;&lt;em&gt;Write F# applications that use the &amp;ldquo;Cloud Numerics&amp;rdquo; lab libraries.&lt;/em&gt;&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;div class="ExternalClassBFC135FD93C646A0BA3A00FE4661CBAD"&gt;&lt;em&gt;Use the deployment utility to scale-out your F# application to the Windows Azure cloud.&lt;/em&gt;&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;p style="padding-left: 30px;" class="ExternalClassBFC135FD93C646A0BA3A00FE4661CBAD"&gt;&lt;em&gt;...calling these methods from F# methods feels natural. For example, consider the following F# source code example:&lt;/em&gt;&lt;/p&gt;
&lt;div style="padding-left: 30px;" class="ExternalClassBFC135FD93C646A0BA3A00FE4661CBAD"&gt;
&lt;div style="margin: 20px 0px 10px; padding: 4px; border: 1px solid silver; width: 97.5%; text-align: left; line-height: 12pt; overflow: auto; font-family: 'Courier New', courier, monospace; font-size: 8pt; cursor: text; direction: ltr; max-height: 250px; background-color: #f4f4f4;" id="codeSnippetWrapper"&gt;
&lt;pre style="margin: 0em; padding: 0px; width: 100%; text-align: left; color: black; line-height: 12pt; overflow: visible; font-family: 'Courier New', courier, monospace; font-size: 8pt; direction: ltr; background-color: #f4f4f4;" id="codeSnippet"&gt;&lt;em&gt;&lt;span style="color: #0000ff;"&gt;open&lt;/span&gt; Microsoft.Numerics&lt;/em&gt;&lt;br /&gt;&lt;em&gt; &lt;span style="color: #008000;"&gt;// Compute the standard deviation for each time series&lt;/span&gt;&lt;/em&gt;&lt;br /&gt;&lt;em&gt;&lt;span style="color: #0000ff;"&gt;let&lt;/span&gt; stdev = &lt;/em&gt;&lt;br /&gt;&lt;em&gt; &lt;span style="color: #0000ff;"&gt;let&lt;/span&gt; sum = ArrayMath.Sum(timeSeriesNormalized * timeSeriesNormalized, 0L)&lt;/em&gt;&lt;br /&gt;&lt;em&gt; &lt;span style="color: #0000ff;"&gt;let&lt;/span&gt; sqrt = BasicMath.Sqrt(sum / float(timeSeriesNormalized.Shape.[0]))&lt;/em&gt;&lt;br /&gt;&lt;em&gt; Operations.MatrixMultiply(sqrt.Transpose(), sqrt)&lt;/em&gt;&lt;/pre&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;h4 style="padding-left: 30px;" class="ExternalClassBFC135FD93C646A0BA3A00FE4661CBAD"&gt;&lt;/h4&gt;
&lt;h3 style="padding-left: 30px;"&gt;&lt;em&gt;Before You Begin&lt;/em&gt;&lt;/h3&gt;
&lt;p style="padding-left: 30px;" class="ExternalClassBFC135FD93C646A0BA3A00FE4661CBAD"&gt;&lt;em&gt;Before you begin to write &amp;ldquo;Cloud Numerics&amp;rdquo; F# code, complete the instructions in the &amp;ldquo;&lt;a href="http://social.technet.microsoft.com/wiki/contents/articles/5993.microsoft-codename-cloud-numerics.aspx"&gt;Cloud Numerics&amp;rdquo; Getting Started&lt;/a&gt; wiki post to:&lt;/em&gt;&lt;/p&gt;
&lt;div style="padding-left: 30px;" class="ExternalClassBFC135FD93C646A0BA3A00FE4661CBAD"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Create an Azure account (if do not have one already)&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Install &amp;ldquo;Cloud Numerics&amp;rdquo; on your local computer where you develop your F# applications&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Configure and deploy a cluster in Azure&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Submit the sample C# &amp;ldquo;Cloud Numerics&amp;rdquo; program to Azure.&lt;/em&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Once you are able to build and run the sample C# application provided with the &amp;ldquo;Cloud Numerics&amp;rdquo; project template, you are ready to follow the steps in this post to create an F# &amp;ldquo;Cloud Numerics&amp;rdquo; application.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;If you are interested in testing your &amp;ldquo;Cloud Numerics&amp;rdquo; F# project locally, on your local development machine, follow the steps in the &lt;a href="http://social.technet.microsoft.com/wiki/contents/articles/5993.microsoft-codename-cloud-numerics.aspx"&gt;Getting Started&lt;/a&gt; wiki post to run the &lt;a href="http://social.technet.microsoft.com/wiki/contents/articles/5993.microsoft-codename-cloud-numerics.aspx#_run_a_distributed_application_locally"&gt;sample application locally&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p style="padding-left: 30px;"&gt;&lt;em&gt;Of course, before you begin, you also need to have F# installed: go to &lt;a href="http://fsharp.net"&gt;http://fsharp.net&lt;/a&gt; and install the &lt;a href="http://www.microsoft.com/download/en/details.aspx?id=11100" target="_blank"&gt;Visual F# CTP (April 2011)&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="http://blogs.msdn.com/b/cloudnumerics/archive/2012/01/16/cloud-numerics-example-distributed-numerics-on-azure-with-f.aspx"&gt;Read more here&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;....&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10259259" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Math/">F# Math</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Statistics/">F# Statistics</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Azure/">Azure</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Numerics/">F# Numerics</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/Cloud/">Cloud</category></item><item><title>Come and work with the F# group at Microsoft Research in Cambridge!</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/14/come-and-work-with-the-f-group-at-microsoft-research-in-cambridge.aspx</link><pubDate>Sat, 14 Jan 2012 12:19:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10256736</guid><dc:creator>dsyme</dc:creator><slash:comments>3</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10256736</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/14/come-and-work-with-the-f-group-at-microsoft-research-in-cambridge.aspx#comments</comments><description>&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Come and work with the F# group at Microsoft Research in Cambridge!&lt;/p&gt;
&lt;p&gt;Microsoft Research in Cambridge has open positions for very high quality applicants with advanced computer science skills (normally recent PhD-level graduates or highly relevant industry experience), and &lt;a href="http://research.microsoft.com/en-us/jobs/intern/about_uk.aspx"&gt;internships&lt;/a&gt; for current PhD candidates or other talented masters students.&lt;/p&gt;
&lt;p&gt;I would like to encourage potential candidates interested in any topic related to&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;F# itself, as a language and tool set&lt;/li&gt;
&lt;li&gt;Topics on the boundary of F# and its applications (for example, GPGPU programming with F#, variaitons on Hadoop programming with F# or other parallel/advanced programming)&lt;/li&gt;
&lt;li&gt;Variations on "&lt;a href="http://channel9.msdn.com/Events/BUILD/BUILD2011/SAC-904T"&gt;Information rich programming&lt;/a&gt;" with F#&amp;nbsp;and massively rich information sources, including other variations on meta-programming and compiler extensibility&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A particular growing interest area for pulling advanced F# experimental work together is in the field of &lt;strong&gt;web-delivered,&lt;/strong&gt; &lt;strong&gt;data-rich&lt;/strong&gt; &lt;strong&gt;cloud programming&lt;/strong&gt;. Think of taking some of the world's greatest applied programming language work, delivering it to high quality in &lt;a href="http://www.tryfsharp.org/"&gt;educative web-delivered learning environments&lt;/a&gt;, combine it with innovative techniques for &lt;a href="http://msdn.microsoft.com/en-us/library/hh370982(v=VS.110).aspx"&gt;strong typing and information-rich programming&lt;/a&gt;, combine with the wealth of rich information sources that make the modern web, integrate with modern backend execution &lt;a href="http://www.microsoft.com/windowsazure/"&gt;environments&lt;/a&gt;, &lt;a href="http://research.microsoft.com/en-us/projects/DryadLINQ/"&gt;strategies&lt;/a&gt;, &lt;a href="http://research.microsoft.com/en-us/um/cambridge/projects/infernet/"&gt;machine-learning tools&lt;/a&gt; and &lt;a href="http://www.itworld.com/virtualization/128231/microsoft-offers-hpc-azure"&gt;products&lt;/a&gt;, both homogeneous and &lt;a href="http://dl.acm.org/citation.cfm?doid=1159876.1159884"&gt;heterogeneous&lt;/a&gt;, and deliver it into the hands of real users. And that's just a starting point.&lt;/p&gt;
&lt;p&gt;Often postdoc and intern positions at MSR have a 100% theory/research/publication focus. However,&amp;nbsp;in this case we are explicitly interested in candidates who would like to pursue a combined practice &amp;amp; research agenda, looking for a virtuous feedback cycle between the two. In this situation, the joy of making things, playing with real software and delivering it to thousands users is valued as much as writing a paper. Candidates might also see this position as a transition step to a research position, a startup, a lead product development role, or to an academic role where hands-on practice is highly valued.&lt;/p&gt;
&lt;p&gt;If you are completing your PhD, or have recently completed, and would like to consider working in this kind of field at MSR Cambridge, then please feel free to apply directly to me (dsyme AT microsoft.com), or &lt;a href="http://research.microsoft.com/en-us/jobs/fulltime/researcher.aspx"&gt;apply directly for a postdoc position&lt;/a&gt; or an &lt;a href="http://research.microsoft.com/en-us/jobs/intern/about_uk.aspx"&gt;internship&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;Don&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10256736" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Jobs/">F# Jobs</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+3-0/">F# 3.0</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Information+Rich+Programming/">F# Information Rich Programming</category></item><item><title>Some F# Programming Jobs in London</title><link>http://blogs.msdn.com/b/dsyme/archive/2012/01/14/some-f-programming-jobs-in-london.aspx</link><pubDate>Sat, 14 Jan 2012 12:02:00 GMT</pubDate><guid isPermaLink="false">91d46819-8472-40ad-a661-2c78acb4018c:10256735</guid><dc:creator>dsyme</dc:creator><slash:comments>4</slash:comments><wfw:commentRss xmlns:wfw="http://wellformedweb.org/CommentAPI/">http://blogs.msdn.com/b/dsyme/rsscomments.aspx?WeblogPostID=10256735</wfw:commentRss><comments>http://blogs.msdn.com/b/dsyme/archive/2012/01/14/some-f-programming-jobs-in-london.aspx#comments</comments><description>&lt;p&gt;Regular readers of my blog will know that from time to time I post links to F# jobs as a courtesy to the F# community.&lt;/p&gt;
&lt;p&gt;I particularly follow those in London, where we have &lt;a href="http://www.meetup.com/FSharpLondon/"&gt;F#unctional Londoners &lt;/a&gt;and other functional/finance/.NET user groups. Here are a few:&lt;/p&gt;
&lt;div id="p_90cb313f8d2779b0" class="row "&gt;
&lt;h3 id="jl_90cb313f8d2779b0" class="jobtitle"&gt;&lt;a title="F# Developer, Finance, Agile" href="http://www.indeed.co.uk/rc/clk?jk=90cb313f8d2779b0" target="_blank"&gt;&lt;b&gt;F#&lt;/b&gt; Developer, Finance, Agile&lt;/a&gt;&lt;/h3&gt;
&lt;/div&gt;
&lt;h3 id="jl_74803150c96d7285" class="jobtitle"&gt;&lt;a href="http://www.indeed.co.uk/rc/clk?jk=ec932808d907aa42"&gt;Senior F# Developer&lt;/a&gt;&lt;/h3&gt;
&lt;h3 class="jobtitle"&gt;&lt;a href="http://www.indeed.co.uk/rc/clk?jk=74803150c96d7285"&gt;C# WPF &lt;b&gt;F#&lt;/b&gt; developer- Quant group&lt;/a&gt;&lt;/h3&gt;
&lt;h3 id="jl_d65b8796f159499f" class="jobtitle"&gt;&lt;a href="http://www.indeed.co.uk/rc/clk?jk=22243c4dedae4671"&gt;&lt;b&gt;F#&lt;/b&gt; Developer/Programmer (C#, SQL) - Top Tier Investment Bank&lt;/a&gt;&lt;/h3&gt;
&lt;h3 id="jl_9e8247aabf4736f8" class="jobtitle"&gt;&lt;a title="C# Dev 4.0 Hedge Fund Statistical Arbitrage F#" href="http://www.indeed.co.uk/rc/clk?jk=9e8247aabf4736f8" target="_blank"&gt;C# Dev 4.0 Hedge Fund Statistical Arbitrage &lt;b&gt;F#&lt;/b&gt;&lt;/a&gt;&lt;/h3&gt;
&lt;h3 id="jl_5acf20727561983a" class="jobtitle"&gt;&lt;a href="http://www.indeed.co.uk/rc/clk?jk=5acf20727561983a"&gt;C# / C++ / &lt;b&gt;F#&lt;/b&gt; Developer - London - Hedge Fund&lt;/a&gt;&lt;/h3&gt;
&lt;div class="sjl sjas3"&gt;
&lt;h3&gt;&lt;a href="http://www.indeed.co.uk/pagead/clk?mo=r&amp;amp;ad=-6NYlbfkN0D8qZYIdnjFUWyfYeZJGPSOveMed4eoSig50X-cWr-xDd0CCwLL9QcpdGPu-JdD3yqrCSyrGBQ3260zY4qiaUDO6p9d_vq7QGdH8xAdKB4SBnyJMhSkpP3FYyMQpdwjiYy3Nfj10mAM9rSWbztbas_Dm9st6Xz3Vgte08OiKe7PdpJZWfyjiBpIVTNxOPtL7e2kQU--mWXhhfjxrg9kwPthAqP2VoeS8wlIalJO5iyEozMypdUqMjU0mJToD53k5UT_1lBE27Ug6vOJwNpOBNhwmTeJfmqMpV4A57Ua3T4_tejfoC8DrHu9vdKhoT-b1zk1DfKmlBWTR7n7fNB4z_C7EmUBY769StzjFHoesyvIW5XnCATBeEthFr5TMw8selHPkTUx4zeXGw==&amp;amp;p=4&amp;amp;sk=0e16ae45a89be07f&amp;amp;tk=16jjb0l1r144266h&amp;amp;jsa=2746"&gt;Data Analysis Machine Learning Engineer&lt;/a&gt;&lt;/h3&gt;
&amp;nbsp;&lt;/div&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;&lt;img src="http://blogs.msdn.com/aggbug.aspx?PostID=10256735" width="1" height="1"&gt;</description><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Jobs/">F# Jobs</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Programming/">F# Programming</category><category domain="http://blogs.msdn.com/b/dsyme/archive/tags/F_2300_+Finance/">F# Finance</category></item></channel></rss>
