3–5 Jul 2006
CERN, Geneva
Europe/Zurich timezone

Session

Misfits

not assigned
5 Jul 2006, 11:00
CERN, Geneva

CERN, Geneva

Presentation materials

There are no materials yet.

  1. Mr holger krekel (merlinux GmbH)
    05/07/2006, 11:00
    Holger Krekel presents "vadm", an open-source tool enabling full non-intrusive versioning of unix system configuration files and directories. Multiple administrators can collaborate and communicate over the setup of one machine. Under the hood, vadm uses subversion and the "py lib" and is easy to learn if you know how to use the "svn" command line already. The talk will also present...
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  2. Mr David Allouche (Canonical Limited), Mr Robert Collins (Canonical Limited)
    05/07/2006, 11:35
    Bazaar is a revision control system written entirely in Python. Programmers can use Bazaar's plugin system to provide new options, features and facilities. We demonstrate writing a plugin for Bazaar and describe what having a plugin system has done to and for Bazaar.
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  3. Mr Moshe Zadka (B-hive Networks)
    05/07/2006, 14:00
    SCREWS is a flexible architecture for simulating errors in web servers, intended for testing of error detection and recovery tools. The flexibility comes from the ability to write "SCREWSlets", tiny Python scripts which determine whether to send an error, and what kind.
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  4. Mr Emanuele Ruffaldi (PERCRO Lab, Scuola S.Anna, Pisa), Mr Walter Aprile (PERCRO Lab, Scuola S.Anna, Pisa)
    05/07/2006, 14:35
    In this talk we present the embedding of Python inside the eXtreme Virtual Reality (XVR) Engine. XVR is an advanced and lightweight system for the development of Virtual Reality applications both for the Web and for 3D Immersive systems. This system has been extensively used in European Projects for the construction of high quality 3D graphic applications enhanced with VR devices. XVR...
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  5. Dr Stefan Schwarzer (SSchwarzer.com)
    05/07/2006, 15:10
    Does it seem your Python code (or even Python code in general) is too slow? If yes, come to this talk. It explains: - which rules should guide you when optimizing Python code - when you should optimize at all - how to find the bottlenecks in your code - what big-O notation is and what it's good for - which changes may help to speed up your Python code - using hardware, algorithms ...
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