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Our initial work is on a single-cell notebook, which basically is a webpage that can execute an arbitrary block of Sage code. Our initial work is on a [[http://groups.google.com/group/sage-notebook/browse_thread/thread/02db9861b755c61d/4150e558c418ba30?#4150e558c418ba30|single-cell compute server]], which basically is a webpage that can execute an arbitrary block of Sage code.
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== 03 Feb 2010 ==

Meet in Howard Hall 308 at 2pm (room reserved from 1:30-3, so come early if you want).

=== Agenda ===
  * Introductions
  * What Sage is
  * Overview of the simple-db-compute project and its architecture
  * Resources
    * [[DrakeSageGroup|DrakeSageGroup webpage]]
    * [[http://code.google.com/r/jasongrout-db-compute/|Google code repository]]
    * [[http://groups.google.com/group/sage-notebook|Sage Notebook]] mailing list -- subscribe to this
  * Installfest--get the simple compute server up and running on as many people's computers as possible
    * install Sage or [[http://www.python.org/|Python]], [[http://ipython.scipy.org/moin/|ipython]], [[http://mercurial.selenic.com/|mercurial]]
    * install [[http://www.mongodb.org/|mongodb]]
    * install [[http://api.mongodb.org/python/1.9%2B/index.html|PyMongo]] and [[http://flask.pocoo.org/|Flask]] python modules: {{{
# from within python
from setuptools.command import easy_install
easy_install.main(["flask"])
easy_install.main(["pymongo"])
}}}
    * configure mercurial: put this in your ~/.hgrc file {{{
[ui]
username = YOUR NAME <YOUR EMAIL>

[extensions]
record=
convert=
hgext.mq=
hgext.extdiff=
hgk=
transplant=
fetch=
}}}
    * Create a [[http://code.google.com/|Google code]] account
    * clone my [[http://code.google.com/r/jasongrout-db-compute/|simple-db-compute]] repository (either just clone it locally, or clone it on google code and then pull from your clone)
  * First goal of project
    * familiarize yourself with the simple-db-compute source code
    * add a "compute id" that is returned to the user. The answers page then queries for just that computation's result.
    * add necessary files to get this running on Windows (for example, a .bat file to start mongodb)
    * Look at making the device more parallel/scalable. See [[http://docs.python.org/library/multiprocessing.html|multiprocessing]], or maybe use the [[http://hg.sagemath.org/sage-main/file/tip/sage/parallel|parallel code from Sage]].
  * Next meeting time

Drake Sage Group

This page documents activities of the Drake University Sage group.

Our initial work is on a single-cell compute server, which basically is a webpage that can execute an arbitrary block of Sage code.

For more information, please contact Jason Grout at jason#[email protected] (replace the # with a .)

03 Feb 2010

Meet in Howard Hall 308 at 2pm (room reserved from 1:30-3, so come early if you want).

Agenda

  • Introductions
  • What Sage is
  • Overview of the simple-db-compute project and its architecture
  • Resources
  • Installfest--get the simple compute server up and running on as many people's computers as possible
    • install Sage or Python, ipython, mercurial

    • install mongodb

    • install PyMongo and Flask python modules:

      # from within python
      from setuptools.command import easy_install
      easy_install.main(["flask"])
      easy_install.main(["pymongo"])
    • configure mercurial: put this in your ~/.hgrc file

      [ui]
      username = YOUR NAME <YOUR EMAIL>
      
      [extensions]
      record=
      convert=
      hgext.mq=
      hgext.extdiff=
      hgk=
      transplant=
      fetch=
    • Create a Google code account

    • clone my simple-db-compute repository (either just clone it locally, or clone it on google code and then pull from your clone)

  • First goal of project
    • familiarize yourself with the simple-db-compute source code
    • add a "compute id" that is returned to the user. The answers page then queries for just that computation's result.
    • add necessary files to get this running on Windows (for example, a .bat file to start mongodb)
    • Look at making the device more parallel/scalable. See multiprocessing, or maybe use the parallel code from Sage.

  • Next meeting time

DrakeSageGroup (last edited 2011-04-28 12:00:59 by jason)