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EuroSciPy 2013
Brussels, Belgium - August 21-24 2013
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Accepted Poster Session
Galry: high performance interactive data visualization in Python
Cyrille Rossant
SfePy - Overview
Robert Cimrman
PyLayers : A Graph Based Python Open Source Indoor Propagation Simulator
Bernard UGUEN
GAlib: a library for graph analysis based in numpy array manipulations
Gorka Zamora-López
DICOM2FEM: FE meshes from CT scans
Vladimír Lukeš
The second life of Brian
Marcel Stimberg
NGPy - an online platform for computer simulations and data analysis
Yi-Xin Liu
Reaction-diffusion systems for wood formation in trees
Félix Hartmann
MNE-Python: MEG and EEG data analysis with Python
Denis A. Engemann
pyquality: analyzing Python code
Álvaro Justen
CHIMPLOT: CoHesive Interactive Model visualization tool with Paper-quaLity OuTcome
Dmitry Khvorostyanov
Parallel computation in Systems Biology with Python
Johann Rohwer
Grid made easy
Antònia Tugores
Benchmarking Several Python Compilers and Interpreters on Mathematical Applications
Pierrick Brunet
modernizing PHCpack through phcpy
Jan Verschelde
Efficient Financial and Data Analytics with Python, pandas & Co.
Yves Hilpisch
LCL: a library for modelling continuous systems
Erik Mathiesen
Proposing an efficient report generation procedure based on Python modules and Latex
Mehmet Kunt
Object-oriented programming with NumPy using CPython & PyPy; comparison with C++ & modern Fortran
Dorota Jarecka
mystic: a framework for predictive science
Michael McKerns
Dynamic Force Microscopy Simulator
Horacio Andres Vargas Guzman
The UQ Foundation: Supporting the Right Scientific Tools for Reproducibility
Drew Marsden
Python for Image Procesing and Big Data
Fabrice Salvaire
PySTEMM - A STEM Learning Tool for Exploring and Building Executable Concept Models
Kelsey DSouza
Using the GC3Pie high-throughput library for model calibration and distributed optimization workflow
Riccardo Murri
Memory profiling
Philippe Gervais
OpenBCI: Brain-Computer Interfaces with Python in science and education
Pawel Chojnacki
Performance of Python runtimes on a non-numeric scientific code.
Riccardo Murri
JyNI - Using native CPython-Extensions in Jython
Stefan Richthofer
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