On Tue, Dec 23, 2014 at 7:06 PM, <pdebuyl@ulb.ac.be> wrote:

Dear scientist using Python,

We are glad to announce the publication of the proceedings of the 7th European Conference on Python in Science, EuroSciPy 2014, still in 2014!

The proceedings cover various scientific fields in which Python and its scientific libraries are used. You may obtain the table of contents and all the articles on the arXiv at http://arxiv.org/abs/1412.7030 For convenience, the articles' titles are listed below.

It is a useful reference to have as the publication of software-related scientific work is not always straightforward.

Thanks go to all authors and reviewers for their contributions. The reviews were conducted publicly at https://github.com/euroscipy/euroscipy_proceedings

Pierre de Buyl & Nelle Varoquaux, editors

PS: there was no large announcement of the proceedings of EuroSciPy 2013. In the hope that this can increase their visibility, here is the URL Proceedings of EuroSciPy 2013: http://arxiv.org/abs/1405.0166

Pierre de Buyl, Nelle Varoquaux: Preface Jérôme Kieffer, Giannis Ashiotis: PyFAI: a Python library for high performance azimuthal integration on GPU Andrew Leonard, Huw Morgan: Temperature diagnostics of the solar atmosphere using SunPy Bastian Venthur, Benjamin Blankertz: Wyrm, A Pythonic Toolbox for Brain-Computer Interfacing Christophe Pouzat, Georgios Is. Detorakis: SPySort: Neuronal Spike Sorting with Python Thomas Cokelaer, Julio Saez-Rodriguez: Using Python to Dive into Signalling Data with CellNOpt and BioServices Davide Monari, Francesco Cenni, Erwin Aertbeliën, Kaat Desloovere: Py3DFreeHandUS: a library for voxel-array reconstruction using Ultrasonography and attitude sensors Esteban Fuentes, Hector E. Martinez: SClib, a hack for straightforward embedded C functions in Python Jamie A Dean, Liam C Welsh, Kevin J Harrington, Christopher M Nutting, Sarah L Gulliford: Predictive Modelling of Toxicity Resulting from Radiotherapy Treatments of Head and Neck Cancer Rebecca R. Murphy, Sophie E. Jackson, David Klenerman: pyFRET: A Python Library for Single Molecule Fluorescence Data Analysis Robert Cimrman: Enhancing SfePy with Isogeometric Analysis Steve Brasier, Fred Pollard: A Python-based Post-processing Toolset For Seismic Analyses Vladimír Lukeš, Miroslav Jiřík, Alena Jonášová, Eduard Rohan, Ondřej Bublík, Robert Cimrman: Numerical simulation of liver perfusion: from CT scans to FE model

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