Re: [Numpy-discussion] ANN: EPD - Enthought Python Distribution released

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Sebastian Haase

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Apr 23, 2008, 3:51:23 AM4/23/08
to Lin Shao, Erik Hom, Priithon
Lin,
They don't support OS-X yet.

Also I prefer extracting a zip-archive over installing!
Refer to the concern that Francks "friend" from STScI had one of the
first postings to the Priithon-list.

But, in general: yes, of course !

-Sebastian.

PS: should these emails now all go to the Priithon list !? Speak up.


On Tue, Apr 22, 2008 at 9:58 PM, Lin Shao <sh...@msg.ucsf.edu> wrote:
> Hi,
>
> You might have already heard of this EPD. I think it'll ease a lot of
> our own efforts in compiling all these stuff into Priithon, i.e.,
> priithon should be built on top of EPD, not regular Python.
>
> --lin
>
>
>
>
> ---------- Forwarded message ----------
> From: Travis Vaught <tra...@enthought.com>
> Date: Mon, Apr 21, 2008 at 4:59 PM
> Subject: [Numpy-discussion] ANN: EPD - Enthought Python Distribution released
> To: python-...@python.org, Discussion of Numerical Python
> <numpy-di...@scipy.org>, "Scipy-Dev@Scipy. Org"
> <scip...@scipy.org>, scipy...@scipy.org, ipytho...@scipy.org,
> matplotli...@lists.sourceforge.net, enthou...@enthought.com
>
>
> Greetings,
>
> Enthought is pleased to announce the release of the Enthought Python
> Distribution (EPD) version 2.5.2001.
>
> http://www.enthought.com/epd
>
> This release makes available both the RedHat 3.x (amd64) and Windows
> XP (x86) installers. OS X, Ubuntu and more (modern) RHEL versions are
> coming soon(!).
>
>
> About EPD
> ---------
> The Enthought Python Distribution is a "kitchen-sink-included"
> distribution of the Python Programming Language as well as over 60
> additional tools and libraries. It includes NumPy, SciPy, IPython, 2D
> and 3D visualization, database adapters and a lot of other tools right
> out of the box. Enthought is offering access to this bundle as a free
> service to academic and other non-profit organizations. We also offer
> an annual fee-based subscription service for Commercial and
> Governmental users to download and update the software bundle.
> (Everyone may try it out for free. Please see the License Information
> below.)
>
>
> Included Software
> -----------------
> A short list includes:
> Python 2.5.2, NumPy, SciPy, Traits, Mayavi, Chaco, Kiva, Enable,
> Matplotlib, wxPython and VTK.
>
> The complete list of software with version numbers is available here:
> http://www.enthought.com/products/epdlibraries.php
>
>
> License Information
> -------------------
> EPD is a bundle of software, every piece of which is available
> separately for free under various open-source licenses. Not-for-
> profit, private-sector access to the bundle and its updates is, and
> will remain, free under the terms of the Subscription Agreement (see
> http://www.enthought.com/products/epdlicense.php
> ). Commercial and Governmental users may try the bundle for free
> for 30 days. After the trial period, users may purchase a one-year
> subscription to download and update the bundle. Downloaded software
> obtained under the subscription agreement may be used by the
> subscriber in perpetuity.
>
> This model should sound familiar, as our commercial offering is quite
> similar to the business model of a certain linux distributor. More
> information is also available in the FAQ (
> http://www.enthought.com/products/epdfaq.php
> ). For larger deployments, or those with special build or
> distribution needs, an Enterprise Subscription is also available.
>
>
> Thanks
> ------
> EPD is compelling because it solves a thorny packaging and
> distribution problem, but also because of the libraries which it
> includes. The folks here at Enthought would like to thank the Python
> developer community and the wider community that authors and
> contributes to these included libraries. We put these things to work
> every day and would be much less productive without them. So, thanks!
>
>
> _______________________________________________
> Numpy-discussion mailing list
> Numpy-di...@scipy.org
> http://projects.scipy.org/mailman/listinfo/numpy-discussion
>
>
>
> --
> The magic of the microscope is not that it makes little creatures
> larger, but that it makes a large one smaller.
>

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