Hi all,
At the recent US SciPy conference and at other times in the past I have been
approached about the possibility of creating a foundation to support the
development of SciPy and NumPy.
I know there are varying opinions about that, but I am generally very
supportive of the idea and would like to encourage it as much as I can. It
would be interesting to have a public discussion of the issues, but these
discussions should not clog the main list of either NumPy or SciPy.
As a result, there has been set up a public mailing list for discussion of the
creation of a Foundation for the Advancement of Scientific, Technical, and
Engineering Computing Using High Level Abstractions (FASTECUHLA). The list
is fastecu...@googlegroups.com
This is a place-holder name that can be replaced if somebody comes up with a
better one. Please sign up for that list if you would like to contribute to
the discussion.
The items to discuss include:
* where to organize
* what the purposes should be
* who should be members
* where should money come from
* what other organizations exist that we could either piggy-back on or
emulate
* what are the pitfalls on starting a foundation to support NumPy and
SciPy versus other approaches
* who has time to participate in its organization and maintenance
One important feature is that I see this foundation as a service opportunity
and obligation and not as a "feather-in-the-cap" or something to join lightly.
I'm hopeful that it can be a place where people and organizations can donate
money and know that it will be going directly to further the core packages for
Scientific Computing with Python.
Thank you,
-Travis
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