                     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 CORE
    Using the python into which you wish to install Numeric Python, execute:

    python setup.py install

    Subdirectory Packages contains optional packages you may wish to install.

    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. 

    Our package is unsupported for versions of Python prior to 1.5.2. 

BUILDING AND INSTALLING OPTIONAL PACKAGES
    Each subdirectory has its own setup file which is used in this same way.
    For convenience a Makefile is included that will install all the optional
    packages provided you have the correct python in your path:
    make     #check output to be sure you are getting desired python
    make all #installs all optional packages; or,
    make MA  #installs just MA package (likewise for FFT, RNG, LALITE, etc.)

    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.
