                     Numerical Python

Web site: http://numpy.sourceforge.net
Project page: http://sourceforge.net/projects/numpy
Discussion group: numpy-discussion@lists.sourceforge.net

===> Silicon Graphics bug:
    Due to a bug in the SGI compiler's handling of complex
    variables, you must build your *python* without optimization. Set the 
    environment variable OPT to "-g" before configuring Python.

BUILDING AND INSTALLING THE NUMERIC
    Using the python into which you wish to install Numeric Python, execute:

    python setup.py install  # Core only
            or
    python setup_all.py install  # Core and all optional packages (see below)

    Note to users of Python 1.5.2:
        If you do not have Distutils, you need to install it first.
        Get it from www.python.org/sigs/distutils-sig. 

    Distutils is unsupported for versions of Python prior to Python 1.5.2. 

    To clean up completely after an install, on Unix you can do:
    /bin/rm -fr build Packages/*/build

    See the Distutils documentation for many command-line options as to 
    installation locations, etc.

OPTIONAL PACKAGES 
    Subdirectory Packages contains optional packages you may wish to install.
    Each package has its own setup.py file or you can use the 
    setup_all.py file in the main directory.  You can edit setup_all.py to 
    change the list of packages to be installed.

    If you have a platform-optimized BLAS and/or LAPACK library, you can use
    it instead of the portable subset subplied in package LALITE. See the
    README in Packages/LALITE for instructions.

CVS Repository, Bug Tracking, Documentation, Patches, Mailing Lists

   Access to the source via CVS, a bug tracking facility, a patch submission
   facility, and the numpy-discussion mailing list are all on the 
   Numerical Python Project page:  http://sourceforge.net/projects/numpy

   The Numerical Python Web Site is http://numpy.sourceforge.net. It contains
   links to the project page and the documentation. It also has a few links 
   to related sites.

History

This software was originally written by Jim Hugunin when he was at MIT, later
at CNRI.

Then Paul Dubois of LLNL became the "keeper". LLNL has released any 
contributions to it by LLNL personnel for free redistribution. 
However, many people have contributed to Numpy.  It is a classic open source effort 
that nobody "owns".  So, Numerical Python is placed in the SourceForge under 
the Python license. The LLNL license is in Legal.htm.

 -- Paul F. Dubois, Jan. 13, 2000.
