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/