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ScientificPython is a collection of Python modules that are useful for
scientific applications. Most of them need the Numerical Python
extension (aka NumPy), which is available from SourceForge; see
http://numpy.sourceforge.net for details.

This is release 2.4 of ScientificPython. The major new feature since
the last stable release, 2.2, is the high-level parallelization module
Scientific.BSP. Please read the BSP tutorial (in Doc/PDF) before using
this, the reference manual by itself is probably not sufficient to
understand the functioning of this module. Also check README.BSP for
the technical details of running BSP parallel programs. Another new
module is Scientific.Signals.Models, which implements autoregressive
modeling of time series.

If you find bugs, please tell me, and if you improve something, please
send me the modified version. I don't promise anything, but since I
use these modules a lot for my own work, I have an interest in keeping
them bug-free and usable.

For updates, check

  http://dirac.cnrs-orleans.fr/ScientificPython/

from time to time.


Konrad Hinsen
Centre de Biophysique Moleculaire (CNRS)
Rue Charles Sadron
45071 Orleans Cedex 2
France

E-Mail: hinsen@cnrs-orleans.fr

---------------------------------------------------------------------------

Installation:
-------------

Required: Python 1.5 or higher, the BSP module requires Python 2.1 or
higher. Most modules also require Numerical Python. If you want to use
the netCDF interface module, you also need the netCDF library, version
3.0 or higher.

Installation is as simple as

    python setup.py build
    python setup.py install

(the second command requires root priviledges on many installations).
This will build the netCDF module if it can find a netCDF installation
in either /usr/local or in /usr. If you you have installed netCDF
somewhere else, you must edit the file setup.py and replace "None" in
line 10 by the name of the base directory in quotes.


Note for Macintosh users: Scientific Python is available through the
fink project. However, you can also use the standard Unix installation
procedure if you prefer.

---------------------------------------------------------------------------

Manual:
-------

The reference manual is provided in HTML and PDF formats:

HTML: Doc/HTML/Scientific.html 

PDF:  Doc/PDF/manual.pdf

The DocBook XML source is also provided in Doc/XML. The BSP tutorial
is in Doc/PDF/BSP_Tutorial.pdf.


Examples:
---------

The directory Examples provides a few simple example applications,
including a C extension module that uses the netCDF C-API.


Using Scientific.Visualization.VMD under Windows
------------------------------------------------

If VMD is installed in its default location, everything should work
fine automatically. Otherwise, an error message will be printed. The
default location is

	c:\Program Files\University of Illinois\VMD\vmd.exe

or its equivalent on non-English Windows versions ("Program Files"
changes its name).