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From: users-boun...@lists.ironpython.com [users-boun...@lists.ironpython.com] 
on behalf of Michael Foord [fuzzy...@voidspace.org.uk]
Sent: Thursday, July 01, 2010 2:44 PM
To: Discussion of IronPython
Subject: Re: [IronPython] Better NumPy/SciPy Support for IronPython

On 01/07/2010 20:14, Dave Fugate wrote:
Enthought<http://www.enthought.com/>, a company specialized in Python-based 
scientific computing solutions, 
announced<http://www.enthought.com/media/SciPyNumPyDotNet.pdf> a partnership 
with Microsoft several hours ago at the SciPy 
2010<https://conference.scipy.org/scipy2010/index.html> conference in which 
they’re porting over the NumPy and SciPy<http://www.scipy.org/> scientific 
software packages to IronPython.  A significant part of this effort involves 
duplicating these packages’ C-based modules in .NET.  Previously, these 
libraries could only be consumed from IronPython very slowly using a C to .NET 
bridge.

Is there any evidence (metrics) that using the Ironclad C to .NET bridge is 
"very slow"? I can believe there are places where it is slower but but I've 
never seen enthought (or any one else) show metrics of this.

Michael


Hi Michael, I personally haven’t seen the performance reports on IronClad, just 
word of mouth (e.g., 
http://www.johndcook.com/blog/2009/03/19/ironclad-ironpytho/).



Dave
  Not only will this porting effort drastically improve the performance of 
Python’s top scientific packages under IronPython, it’s fantastic for 
NumPy/SciPy in the sense that it enables an entirely new community of (.NET) 
developers to utilize and contribute to these libraries.  Also, Enthought’s 
refactoring work will make it easier to run these packages against all 
implementations of Python, not just IronPython.  It’s expected that NumPy will 
be finished by September and SciPy before the end of the year.

The IronPython Team

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