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

Session

Python in Science

3 Jul 2006, 09:35
CERN, Geneva

CERN, Geneva

Presentation materials

There are no materials yet.

  1. Dr eric jones (Enthought, Inc.)
    03/07/2006, 09:35
    Python in Science
    The Enthought tool suite (ETS) is a collection of packages for developing scientific applications. It includes a variety of tools ranging from Envisage, a framework for building scriptable and extensible applications, to Mayavi, a general 3D visualization package. This talk provides an overview of the collection's capabilities and demonstrates their use in a variety of applications. ...
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  2. Mr Martin Chilvers (Enthought Inc)
    03/07/2006, 10:10
    Python in Science
    The Java world has two dominant frameworks for extensible application development: NetBeans and Eclipse. Although many people think of these two projects as IDEs, they are both built upon open architectures that are designed to support generic GUI application development. Treading lightly in the footsteps of these two excellent projects, Envisage attempts to bring similar capabilities...
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  3. Mr ludovic aubry (logilab)
    03/07/2006, 11:00
    Python in Science
    Code_Aster is a simulation tool for mechanics developed over the past twenty years at Electricité de France Research and Development. In the year 2000, its home-brewed scripting language was replaced with Python. This talk will present the features of Code_Aster and the benefits gained by the use of Python.
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  4. Mr Christophe Pradal (CIRAD)
    03/07/2006, 11:35
    Python in Science
    The aim of the plant architecture research community is to understand the biological processes involved in the function and growth of plants with explicit representation of their topology and geometry. To understand these systems, which may be quite complex, researchers in botany, ecophysiology, forestry, horticulture, applied mathematics and computer science share experimental...
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  5. Dr Rob Collins (Europython 2006 Conference)
    03/07/2006, 12:10
    Python in Science
    I write Python applications for a company specialising in industrial factory monitoring and scheduling. Most recently we have developed a web application for remote monitoring, sending text message alarms when machine hoppers run low. We're using the Pylons web framework, Myghty templating, XML-RPC and SimPy simulation. The dynamic graphical display of the factory is written in SVG, for...
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  6. Tiziano Zito (Institute for Theoretical Biology, Berlin)
    03/07/2006, 14:00
    Python in Science
    We present release 2.0 of the Modular toolkit for Data Processing (MDP), a data processing framework written in Python and based on numpy (the most popular numerical extensions to Python). From the user's perspective, MDP consists of a collection of trainable algorithms or other data processing units (nodes) that can be combined into data processing flows. Given a sequence of input...
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  7. Theo De Ridder (Saxion Hogescholen)
    03/07/2006, 14:35
    Python in Science
    Ambient sensor networks represent distributed systems that challenge the illusion that Moore's law will always facilitate more complex software in the near future. The need for extreme low power consumption in myriads of miniscule sensors is a driving force to reduce software again to its basics. It appears that good old concepts enable new animals like hopping and gossiping nano-agents....
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  8. Alexander Soroko (UNIVERSITY OF OXFORD)
    03/07/2006, 15:10
    Python in Science
    Details are presented of GANGA, the Grid user interface being developed to enable large-scale distributed data analysis within High Energy Physics. GANGA helps users to configure, execute, monitor and manage their large scale computing tasks. We show how the basic functionality implemented in a small GANGA core can be enhanced by tailored plugins provided by specific user communities....
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  9. David Quarrie (LBNL)
    03/07/2006, 16:00
    Python in Science
    ATLAS, one of the four experiments at the CERN LHC accelerator, uses the Athena/Gaudi component architecture to build and run its software applications. Python was initially introduced as a configuration language for the hundreds of C++ components, but soon, thanks to the development of a powerful C++ binding layer, it started pervading all application domains from job management, to...
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  10. Dr Pere Mato (CERN)
    03/07/2006, 16:35
    Python in Science
    In this paper we present the developments in the area of interfacing Python with large-scale C++ frameworks, driven by the needs of the new generation of High Energy Physics experiments currently in preparation at CERN. The physics software being developed for detector simulation, data reconstruction, and data analysis is mainly written in C++. Yet, scripting is an essential...
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  11. Mr Altet Francesc (Cárabos Coop. V.)
    03/07/2006, 17:10
    Python in Science
    Many tools exist in the Python world to handle persistent data. Most of them are high-level wrappers to access well-known relational databases (Oracle, Postgres, MySQL...), while others are wrappers to highly-efficient, specific-purpose libraries (bsddb, NetCDF3...). Others have developed their own specific formats to fulfill their own requirements. In the data-hungry world of...
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  12. Mr Jérémie Farret (Parallel Geometry Inc)
    04/07/2006, 11:00
    Python in Science
    LLG Python defines a Python based programming paradigm for a new generation of geometric simulation, able to unify volumic data representation and processing for real time applications. It unifies in particular geometric and graphic pipelines, replacing parametric and polygonal surfaces with descriptive polynomials for generalized algebraic surfaces. This approach virtually enables...
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  13. Dr Oleg Smirnov (NWO/ASTRON)
    04/07/2006, 11:35
    Python in Science
    Calibration of observational data from the next generation of radio telescopes presents a number of unique challenges, not only in terms of pure computational volume, but also in terms of managing complexity. In general, the calibration process involves constructing a combined model of the instrument and the observed sky, and fitting that model to the observations. Due to the...
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  14. Dr Witold Pokorski (CERN)
    04/07/2006, 12:10
    Python in Science
    Geant4 is one of the principal toolkits used for the simulation of the passage of particles through matter. It is implemented in C++ and it exposes to the users a set of methods (of different classes) needed to construct a functional application. In other words, users need to interact with Geant4 objects via a C++ API and therefore users' Geant4 based applications are normally written...
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