IronPython URLs

Yet another collection of IronPython and DLR related articles, projects and blog entries from the past few weeks. NTornado NTornado is an IronPython version of the Tornando web server. The Tornado Web Server is the open source version of the non-blocking web server that power FriendFeed and now part of the Facebook's open source initiative. This server is coded in Python and with strong emphasis on operating systems with epoll support. NTornado is a port of Tornado to IronPython using asynchronous high-performance sockets in .NET. To run the demos (requires IronPython 2.6): > ipy -X:Frames "demo file name".py Getting WPF Control Template in IronPython I always find myself needing a control template so I can customize one of the WPF controls. I used to fire up Expression Blend to get it, and then realized I could write a little IronPython code to do it. Paste this code into the IronPython 2.0 or 2.6 console to see it work! Modulo .NET test con IronPython  A tr...

Dave Fugate is a tester on the IronPython team. The IronPython team has recently done some great work on IronPython 2 performance improvements and Dave has started blogging on how they measure IronPython performance. His initial blog entry introduces himself and what he does (plus IronPython related topics he intends to blog about): Jumping back on the blogging bandwagon He has a two part blog entry on how they measure performance (the hardware infrastructure) and the results over time comparing 32bit to 64bit OSes. Every checkin triggers a benchmark run that takes over six hours (running a combination of PyBench, PyStone and custom microbenchmarks) on custom OS install. Measuring IronPython Performance Part 1 The second part compares performance (both PyStone and PyBench) for two identical machines - one running 32bit Vista and the other running 64bit Vista. Interestingly performance is worse for x64 architecture than it is for x86. Measuring IronPython Performance Part 2

Someone has posted some benchmarks of iterative string operations for Python and IronPython: Python Iterative Operation Benchmark CPython wins out on all of these benchmarks, except against IronPython 1 for the generator test. Not only that, but this benchmark shows (for these specific operations - all of which are related) a performance regression between IronPython 1 and 2. Hopefully these figures will provide useful data for IronPython optimisation.

After the debate on comp.lang.python about Python vs IronPython performance , 'sokoide' has posted a mini-benchmark comparing Python and IronPython (but heed Steve Holden's wise words on benchmarks in the newsgroup thread). It appears to benchmark an implementation of the N-Queens puzzle (although I don't think he has posted the code used). In this benchmark IronPython comes out as a clear winner. Python Mini Benchmark Interestingly Python on Windows appears to do better than Python on Mac OS X. In the past this has been attributed to Visual Studio (the Windows compiler) being optimised for performance where gcc is optimised for portability.

Seo has done some benchmarks of IronPython 1.1 on Mono, showing how performance has improved from 1.2.3 (February this year), through 1.2.5 (August) to current SVN head: IronPython/Mono Benchmarks

The author of IronLisp has rerun his benchmark, running them as a program with IronPython rather than in the interactive interpreter. This means that the code is compiled by the DLR first. This time IronLisp comes out twice as fast as IronPython, but IronPython is twice as fast as CPython: Benchmarks Updated

Flávio Codeço Coelho posts a performance comparison of IronPython and CPython sets. CPython comes out a long way ahead, so more tuning needed for the IronPython set implementation: Set Implementation Performance

Robert Pickering does some benchmarking: F# versus IronPython Unsurpisingly F# is faster than IronPython. Something that will also be no surprise, C# is more verbose than both IronPython and F#. What might come as a surprise is that F# is almost as terse as Python.