[Baypiggies] geospatial software architect job opening involves python and django

Benjamin Sergeant bsergean at gmail.com
Fri Mar 27 18:30:41 CET 2009

post baypiggies morning are always great for toying around. I'm writting a
.sln (Microsoft visual studio solution file) parser using python-ply, and
wanted to work on it on my Mac that doesn't have python-ply installed.

So I thought I'd give pip and virtualenv a try to local install ply with
ease and not polute my global site-packages folder. And that was easy

- Benjamin

$ sudo easy_install pip # virtualenv was already installed, think you
install it the same way
$ svn co /path/to/my/project
$ cd my/project
$ virtualenv pyenv
New python executable in pyenv/bin/python
Installing setuptools............done.
$ pip install -E pyenv ply
Downloading/unpacking ply
  Downloading ply-3.2.tar.gz (139Kb): 139Kb downloaded
  Running setup.py egg_info for package ply
Installing collected packages: ply
  Running setup.py install for ply
Successfully installed ply
$ export PATH=pyenv/bin:$PATH
$ python
Python 2.5.1 (r251:54869, Apr 18 2007, 22:08:04)
[GCC 4.0.1 (Apple Computer, Inc. build 5367)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import ply

On Fri, Mar 27, 2009 at 9:16 AM, Alison Chaiken <alchaiken at gmail.com> wrote:

> Thanks to all last night's presenters.    I've installed pylint and am
> looking into fabric!
> Do not respond to me about the job opening appended below.    I'm
> merely forwarding it from another mailing list.
> --
> Alison Chaiken
> (650) 279-5600  (cell)
>    http://www.exerciseforthereader.org/
> The Human Genome is smaller than Microsoft Office.   -- Steve Jurvetson
> Title:    Software Developer (full-time position)
> Location: NASA Ames Research Center, Moffett Field, CA
> Want to help NASA return to the Moon? Want to build cutting-edge planetary
> mapping and modeling systems? Want to create geospatial user interfaces
> that reach millions of people?
> The NASA Ames Intelligent Robotics Group (irg.arc.nasa.gov) has an
> immediate opening for a full-time software developer to help create the
> next generation of planetary data systems, geospatial user interfaces, and
> teraflop image processing pipelines. This is a high-profile, high-impact
> opportunity to create software that will make a difference in how we
> explore space. This software will be used by NASA mission engineers, the
> planetary science community, and the general public, through Google Earth
> and other cutting-edge science and outreach platforms.
> Applicants should hold a B.S. (or higher) in Computer Science and have
> excellent software engineering and system development skills. A strong
> background in UNIX development and open-source tools is required. In
> addition, knowledge in one (or more) of the following areas is greatly
> preferred:
>  - C++, Java, Python, and Django
>  - distributed, multi-threaded and parallel processing
>  - geospatial systems (GIS, geodesy, experience with GDAL, proj.4, etc.)
>  - computer vision (camera models, stereo vision, 2D/3D mosaicking)
>  - linear algebra and statistics, plus some knowledge of optimization,
>    estimation, and probablistic methods
> If you are interested in applying for this position, please send the
> following via email:
>  - a letter describing your background and software experience
>  - a detailed resume (PDF or text)
>  - contact details for two (or more) references
> to Dr. Terry Fong <terry.fong at nasa.gov>.
> The NASA Ames Intelligent Robotics Group (IRG) is dedicated to enabling
> humans and robots to explore and learn about extreme environments, remote
> locations, and uncharted worlds. IRG conducts applied research in a wide
> range of areas with an emphasis on robotics systems science and field
> testing. IRG's expertise includes applied computer vision (navigation, 3D
> surface modeling, automated science support), human-robot interaction,
> interactive 3D user interfaces, robot software architecture, and planetary
> rovers. Recent projects include:
>  Google Mars 3D                  http://earth.google.com
>  Google NASA Planetary Content:  http://ti.arc.nasa.gov/projects/planetary
>  Robotic Site Survey:            http://haughton2007.arc.nasa.gov
>  GigaPan GigaPixel Panoramas:    http://gigapan.org
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