InfoQ Homepage IronPython Content on InfoQ
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IronPython for .NET 4
Previews of IronPython for .NET 4 have been shipping along with VS 2010, but that does not mean the two are tied together. We break down the plans for delivering IronPython to .NET developers.
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The DLR’s Adaptive Compiler
The Dynamic Language Runtime has significant performance improvements over traditional interpreters for Python and Ruby, once it is warned up. But for code you only use once or twice, the performance can be downright pitiful. Fortunately a solution is in sight.
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Add a REPL Console to Your .NET Applications
Microsoft is starting to push IronPython and IronRuby as the way for end users to customize their applications. In order to make that easier, Jim Deville is offering a REPL console designed specifically to be used by end users as an advanced mode for their applications.
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23 .NET Open Source Projects
Eric Nelson, a Developer Evangelist for Microsoft and Technical Editor of MSDN UK Flash, has compiled a list of 23 .NET open source projects mostly based on recommendations sent by UK developers. Other great projects did not make it into the list, while Microsoft’s contribution include: ASP.NET MVC, DLR, IronRuby, IronPython, MEF.
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Moving to IronPython
Dynamic languages like Python and Ruby seem to be all the rage these days. If you want to jump on the bandwagon, sometimes the best way to get started is with a code converter. Fortunately SharpDevelop has you covered with support for C# and VB conversions to IronPython 2.0.
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IronPython Performance Improvements
A new version IronPython, an implementation of Python running on .NET, has been released. IronPython 2.0.1 focuses on performance improvements, while keeping complete backwards compatibility.
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IronPython 2.0 Has Been Released
Microsoft has released IronPython 2.0 on CodePlex, the .NET implementation of the Python language. The most important improvement is running on top of the Dynamic Language Runtime (DLR).
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Presentation: Ruby Beyond Rails
John Lam talks about his path to dynamic languages, some of the problems of making IronRuby run fast, and how the DLR helps with implementing languages.
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Compiled IronPython
Shri Borde discuses the status of IronPython 2 and how it works with compiled code. He focuses on issues involving reflection and CLS compliance.
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Do Language Specific Libraries Belong in .NET?
There is a lot of basic functionality the .NET platform does not provide. For example, there is no built-in way to read CSV files, copy directories, or work with zip files. Well actually there is, but only if you dig deep enough.
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Microsoft shows Django running on IronPython
Microsoft recently had the opportunity to show off some of the progress the Dynamic Language Runtime (DLR) team has made when they gave a demo of Django running on IronPython. The accomplishment was shown during PyCon 2008 in Chicago, March 14-16, 2008.
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Microsoft Introduces Dynamic Silverlight
The Dynamic Language team at Microsoft recently introduced its latest technology called Dynamic Silverlight (DSL) at the MIX08 Conference in Las Vegas.
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Dynamic Languages on the CLR and JVM
John Rose, a key designer behind Sun's new Da Vinci Machine project initiative, and Charles Nutter of the JRuby project, contrast dynamic language support and optimization on the JVM and Microsoft's Dynamic Language Runtime.
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Scalability: Dynamic and Static Programming Languages
In the wake of the demise of Chandler personal information management project, a discussion has occurred on TSS about the scalability potential of dynamic languages. Ted Neward attempted to go beyond language quarrel in order to provide some structured insights on this issue.
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Programming for the DLR
The Dynamic Language Runtime (DLR) is an effort to facilitate the creation of language runtimes on .NET. IronRuby, a Ruby for .NET, is one of the languages built on the DLR that helps to push its limits. A new blog gives a step by step introduction to the DLR and how to build languages on it.