Fri, 05 Jan 2018 08:00:04 +0100

salomon.csv

@@ -1187,11 +1187,11 @@ phono3py/1.11.13.35-intel-2017a-Python-2.7.13,2
 phonopy/1.11.6.7-intel-2015b-Python-2.7.9,2
 phonopy/1.11.12.5-intel-2015b-Python-2.7.9,2
 phonopy/1.11.12.5-Python-2.7.13-base,2
+Jinja2/2.10-Py-3.6,2
+MarkupSafe/1.0-Py-3.6,2
 ase/3.15.0-Py-3.6,2
 click/6.7-Py-3.6,2
 cycler/0.10.0-Py-3.6,2
-jinja2/2.10-Py-3.6,2
-markupsafe/1.0-Py-3.6,2
 matplotlib/2.1.1-Py-3.6,2
 numpy/1.13.3-Py-3.6,2
 pyparsing/2.2.0-Py-3.6,2

salomon.md

@@ -356,8 +356,8 @@
 | [ase](https://wiki.fysik.dtu.dk/ase/) | ASE is a python package providing an open source Atomic Simulation Environment in the Python scripting language. |
 | [click](https://pypi.python.org/pypi/click) | A simple wrapper around optparse for powerful command line utilities. |
 | [cycler](https://matplotlib.org/cycler) | Composable style cycles. |
-| [jinja2](https://pypi.python.org/pypi/jinja) | A small but fast and easy to use stand-alone template engine written in pure python. |
-| [markupsafe](https://pypi.python.org/pypi/markupsafe) | Implements a XML/HTML/XHTML Markup safe string for Python. |
+| [Jinja2](https://pypi.python.org/pypi/jinja) | A small but fast and easy to use stand-alone template engine written in pure python. |
+| [MarkupSafe](https://pypi.python.org/pypi/markupsafe) | Implements a XML/HTML/XHTML Markup safe string for Python. |
 | [matplotlib](http://matplotlib.org) | matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits. |
 | [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. |