Thu, 04 Jan 2018 09:30:03 +0100

salomon.csv

@@ -1190,10 +1190,10 @@ phonopy/1.11.12.5-intel-2015b-Python-2.7.9,2
 phonopy/1.11.12.5-Python-2.7.13-base,2
 numpy/1.13.3-Python-3.6.2-base,2
 pyparsing/2.2.0-Python-3.6.2-base,2
+python-dateutil/2.6.1-Py-3.6,2
 scipy/1.0.0-Python-3.6.2-base,2
-six/1.11.0-python-toolchain-3.6,2
-six/1.11.0-Python-2.7,2
-six/1.11.0-Python-3.6,2
+six/1.11.0-Py-2.7,2
+six/1.11.0-Py-3.6,2
 six/1.11.0-Python-3.6.2-base,2
 eudev/3.1.5-foss-2016a,2
 eudev/3.1.5-intel-2016a,2
@@ -1222,8 +1222,6 @@ GNU/6.3.0-2.27,2
 PRACE/20150630-intel-2015b,2
 Py/2.7,2
 Py/3.6,2
-Python/2.7,2
-Python/3.6,2
 foss/2015b,2
 foss/2015e,2
 foss/2015g,2
@@ -1284,8 +1282,6 @@ iompi/2017a,2
 iompi/2017.01,2
 libc/2.14-6.3.0,2
 prace/20160107-intel-2016.01,2
-python-toolchain/3.6,2
-python/3.6,2
 ANSYS/16.1,2
 ANSYS/17.0,2
 ANSYS/18.0-intel-2017a,2

salomon.md

@@ -356,6 +356,7 @@
 | ------ | ----------- |
 | [numpy](http://www.numpy.org) | NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. |
 | [pyparsing](http://pyparsing.wikispaces.com) | The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code. |
+| [python-dateutil](https://github.com/dateutil/dateutil) | Useful extensions to the standard Python datetime features |
 | [scipy](https://github.com/jupyter/testpath) | Test utilities for code working with files and commands |
 | [six](https://github.com/benjaminp/six) | Python 2 and 3 compatibility library. |
 
@@ -384,9 +385,6 @@
 | [PRACE](http://www.prace-ri.eu/PRACE-Common-Production) | The PRACE Common Production Environment (PCPE) is a set of software tools and libraries that are planned to be available on all PRACE execution sites. The PCPE also defines a set of environment variables that try to make compilation on all sites as homogeneous and simple as possible. |
 | [prace](http://www.prace-ri.eu/PRACE-Common-Production) | PRACE Common Production Environment (PCPE) Initialisation of the PRACE common production environment. This allows you to assume that the following tools/libraries are available by default in your PATH/environment. * Fortran, C, C++ Compilers * MPI * BLAS, LAPACK, BLACS, ScaLAPACK * FFTW * HDF5, NetCDF The compiler commands on are: * mpif90 - Fortran compiler * mpicc - C compiler * mpicxx - C++ compiler For more information on the PCPE please see the documentation at: http://www.prace-ri.eu/PRACE-Common-Production For help using this system, please see Local User Guide available at: http://prace-ri.eu/Best-Practice-Guide-Anselm-HTML |
 | [Py](https://www.python.org) | Python 2.7 toolchain |
-| [Python](http://python.org/) | Python is a programming language that lets you work more quickly and integrate your systems more effectively. |
-| [python](https://www.python.org) | Python 2.7 toolchain |
-| [python-toolchain](https://www.python.org) | Python 3.6 toolchain |
 
 ## Tools