Sync readme and online index

Author: mtezzele

README.md

@@ -53,7 +53,7 @@ See the [**Examples**](#examples) section below and the [**Tutorials**](tutorial
 **PyGeM** requires `numpy`, `scipy`, `matplotlib`, `sphinx` (for the
 documentation) and `nose` (for local test). They can be easily installed via
 `pip`. The code has been tested with Python3.7 version, but it should be
-compatible with Python3. The Python2 support is no longer maintained.
+compatible with a generic Python3.x. The Python2 support is no longer maintained.
 To enable the `CAD`
 [submodule](https://github.com/mathLab/PyGeM/tree/master/pygem/cad), the
 module `pythonocc-core` is required to deal with IGES files. This requirement

docs/source/index.rst

@@ -14,16 +14,18 @@ Description
 
 PyGeM is a python library using Free Form Deformation, Radial Basis Functions and Inverse Distance Weighting to parametrize and morph complex geometries.  It is ideally suited for actual industrial problems, since it allows to handle:
 
-- Computer Aided Design files (in .iges and .stl formats)
-- Mesh files (in .unv and OpenFOAM formats)
+- Computer Aided Design files (in .iges, .step, and .stl formats)
+- Mesh files (in .unv, Elmer, and OpenFOAM formats)
 - Output files (in .vtk format)
 - LS-Dyna Keyword files (.k format)
 
 By now, it has been used with meshes with up to 14 milions of cells. Try with more and more complicated input files!
+See the Tutorials section below to have an idea of the potential of this package.
 
 
 Installation
 ^^^^^^^^^^^^
+The code has been tested with Python3.7 version, but it should be compatible with a generic Python3.x. The Python2 support is no longer maintained.
 
 To install the pygem package, open the terminal/command line and clone the repository with the command
 ::
@@ -39,6 +41,8 @@ After installing the dependencies you can navigate into the ``PyGeM`` folder (wh
 You should now be able to import the pygem library in Python scripts and interpreters with the command ``import pygem``.
 
 
+Alternatively, there is the possibility to get PyGeM through prebuilt and high-performance Docker images. Please, for the details, refer to the official `repository <https://github.com/mathLab/PyGeM>`_.
+
 
 Developer's Guide
 ^^^^^^^^^^^^^^^^^^^^^^^