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Subject: NumPy (Numeric Python) [LSARC/2008/239 FastTrack timeout 04/04/2008]
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Template Version: @(#)sac_nextcase 1.64 07/13/07 SMI
This information is Copyright 2008 Sun Microsystems
1. Introduction
    1.1. Project/Component Working Name:
	 NumPy (Numeric Python)
    1.2. Name of Document Author/Supplier:
	 Author:  Jedy Wang
    1.3  Date of This Document:
	04 April, 2008
4. Technical Description
    See the case directory for more detail

6. Resources and Schedule
    6.4. Steering Committee requested information
   	6.4.1. Consolidation C-team Name:
		JDS - Gnome
    6.5. ARC review type: FastTrack
    6.6. ARC Exposure: open


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Date: Fri, 04 Apr 2008 16:20:27 -0700
From: John Fischer <John.Fischer@sun.com>
Subject: LSARC/2008/239 - NumPy - Numeric Python
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LSARC,

I am sponsoring this case for Jedy Wang from the JDS team in
Beijing, China.  The case materials contains this proposal.
I am closing this case out as automatic because it was already
reviewed with the Gnome 2.22 case.  I requested that this
case be filed to help hi-light these interface separate from
the Gnome case.

Minor release binding is appropriate and matches the Gnome
2.22 case materials.

Thanks,

John

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Project Description:

	NumPy (Numeric Python) is the fundamental package providing scientific
	computing with Python. It contains:

	  * a powerful N-dimensional array object
	  * sophisticated (broadcasting) functions
	  * basic linear algebra functions
	  * basic Fourier transforms
	  * sophisticated random number capabilities
	  * tools for integrating Fortran code.
	  * tools for integrating C/C++ code

	Besides its obvious scientific uses, NumPy can also be used as an
	efficient multi-dimensional container of generic data. Arbitrary
	data-types can be defined. This allows NumPy to seamlessly and speedily
	integrate with a wide-variety of databases. NumPy derives from the old
	Numeric code base and can be used as a replacement for Numeric. It also
	adds the features introduced by Numarray and can also be used to
	replace Numarray. 

	The main reason for adding NumPy is because it is an optional 
	dependancy of PyGtk.  With NumPy available, the following PyGtk
	functions are enabled:

	When PyGtk is built with NumPy support, then the following PyGtk
	functions become available for use: get_pixels_array,
	pixbuf_new_from_array and the pixels.array attribute.  Refer here:

	http://www.pygtk.org/pygtk2reference/class-gdkpixbuf.html

	So, this improves the ability for Python programs to work with programs
	that use these PyGtk pixbuf functions.  I did a search of programs that
	we ship that use these functions.  At the moment, only the gnome-sudoku
	game is using these PyGtk functions. 

    This case should be auto-approved as LSARC/2008/207 GNOME 2.22 is approved.



Exported Interfaces:

    Interface                                 Interface    Comment
                                         Classification                
    ===========================================================================

      /usr/bin/f2py                           Volatile     New Fortran to
                                                           Python interface
                                                           generator.
      /usr/lib/python2.4/vendor-packages/numpy
                                              Volatile     New scientific
                                                           computing python
                                                           package.

References:
	GNOME 2.22 ARC case
    http://sac.sfbay/Archives/CaseLog/arc/LSARC/2008/207/

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From Jedy.Wang@sun.com Sun Apr  6 08:18:16 2008
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Date: Sun, 06 Apr 2008 23:18:03 +0800
From: Jedy Wang <Jedy.Wang@sun.com>
Subject: Re: LSARC/2008/239 - NumPy - Numeric Python
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Thank you very much, John:-).

Jedy
John Fischer wrote:
> LSARC,
>
> I am sponsoring this case for Jedy Wang from the JDS team in
> Beijing, China.  The case materials contains this proposal.
> I am closing this case out as automatic because it was already
> reviewed with the Gnome 2.22 case.  I requested that this
> case be filed to help hi-light these interface separate from
> the Gnome case.
>
> Minor release binding is appropriate and matches the Gnome
> 2.22 case materials.
>
> Thanks,
>
> John
> ------------------------------------------------------------------------
>
> Project Description:
>
> 	NumPy (Numeric Python) is the fundamental package providing scientific
> 	computing with Python. It contains:
>
> 	  * a powerful N-dimensional array object
> 	  * sophisticated (broadcasting) functions
> 	  * basic linear algebra functions
> 	  * basic Fourier transforms
> 	  * sophisticated random number capabilities
> 	  * tools for integrating Fortran code.
> 	  * tools for integrating C/C++ code
>
> 	Besides its obvious scientific uses, NumPy can also be used as an
> 	efficient multi-dimensional container of generic data. Arbitrary
> 	data-types can be defined. This allows NumPy to seamlessly and speedily
> 	integrate with a wide-variety of databases. NumPy derives from the old
> 	Numeric code base and can be used as a replacement for Numeric. It also
> 	adds the features introduced by Numarray and can also be used to
> 	replace Numarray. 
>
> 	The main reason for adding NumPy is because it is an optional 
> 	dependancy of PyGtk.  With NumPy available, the following PyGtk
> 	functions are enabled:
>
> 	When PyGtk is built with NumPy support, then the following PyGtk
> 	functions become available for use: get_pixels_array,
> 	pixbuf_new_from_array and the pixels.array attribute.  Refer here:
>
> 	http://www.pygtk.org/pygtk2reference/class-gdkpixbuf.html
>
> 	So, this improves the ability for Python programs to work with programs
> 	that use these PyGtk pixbuf functions.  I did a search of programs that
> 	we ship that use these functions.  At the moment, only the gnome-sudoku
> 	game is using these PyGtk functions. 
>
>     This case should be auto-approved as LSARC/2008/207 GNOME 2.22 is approved.
>
>
>
> Exported Interfaces:
>
>     Interface                                 Interface    Comment
>                                          Classification                
>     ===========================================================================
>
>       /usr/bin/f2py                           Volatile     New Fortran to
>                                                            Python interface
>                                                            generator.
>       /usr/lib/python2.4/vendor-packages/numpy
>                                               Volatile     New scientific
>                                                            computing python
>                                                            package.
>
> References:
> 	GNOME 2.22 ARC case
>     http://sac.sfbay/Archives/CaseLog/arc/LSARC/2008/207/
>   


