[sf-lug] [PYCLASS] ANN: NumPy 1.2.0 (fwd)

Asheesh Laroia asheesh at asheesh.org
Mon Sep 29 22:30:15 PDT 2008


Toward the end of class, we discussed other languages.  You'll see that a 
"scientific computing with Python" package just released a few days back 
includes "tools for integrating Fortran code."

Python is not the only programming language, but if it can envelop all the 
other languages, maybe it'll be okay. (-;

-- Asheesh.

---------- Forwarded message ----------
Date: Thu, 25 Sep 2008 23:09:01
From: Jarrod Millman <millman at berkeley.edu>
To: python-announce-list at python.org
Subject: ANN: NumPy 1.2.0
Reply-To: python-list at python.org
Website:
     http://mail.python.org/pipermail/python-announce-list/2008-September/006915.
     html

I'm pleased to announce the release of NumPy 1.2.0.

NumPy is the fundamental package needed for 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.

Besides it's 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.

This minor release comes almost four months after the 1.1.0
release. The major features of this release are a new
testing framework and huge amount of documentation work. It
also includes a some minor API breakage scheduled in the
1.1 release.

Please note that NumPy 1.2.0 requires Python 2.4 or greater.

For information, please see the release notes:
http://sourceforge.net/project/shownotes.php?group_id=1369&release_id=628858

You can download the release from here:
http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103

Thank you to everybody who contributed to this release.

Enjoy,

-- 
Jarrod Millman
Computational Infrastructure for Research Labs
10 Giannini Hall, UC Berkeley
phone: 510.643.4014
http://cirl.berkeley.edu/
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