https://github.com/Unidata/siphon
Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server.

http://www.pyngl.ucar.edu/Nio.shtml
PyNIO is a Python package that allows read and/or write access to a variety of data formats using an interface modeled on netCDF. PyNIO is composed of a C library called libnio along with a Python module based on and with an interface similar to the Scientific.IO.NetCDF module written by Konrad Hinsen. The C library contains the same data I/O code used in NCL, a scripting language developed for analysis and visualization of geo-scientific data.

https://sourcesup.cru.fr/projects/scientific-py/
ScientificPython is a collection of Python modules for scientific computing. It contains support for geometry, mathematical functions, statistics, physical units, IO, visualization, and parallelization.

https://bitbucket.org/robertodealmeida/pupynere/
This module implements the Scientific.IO.NetCDF API to read and create NetCDF files. The same API is also used in the PyNIO and pynetcdf modules, allowing these modules to be used interchangebly when working with NetCDF files. The major advantage of scipy.io.netcdf over other modules is that it doesn't require the code to be linked to the NetCDF libraries as the other modules do.
Pupynere (PUre PYthon NEtcdf REader) Roberto De Almeida has developed pupynere, a PUre PYthon NEtcdf REader that allows read-access to netCDF files using the same syntax as the Scientific.IO.NetCDF Python module. Even though it's written in Python, the module is up to 40% faster than Scientific.IO.NetCDF and pynetcdf. 

https://github.com/easybuilders/easybuild
EasyBuild is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way.

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17 mai: gestion easydata (structuration, analyse) 4h
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20 mai: gestion easydata (structuration, analyse) 4h
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23 mai: eclipse python django 4h

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