message: Mention pip package
diff: Installation
  ############
  -Conda
  -*****
  -The easiest way to install the Python version of GUDHI is using
  -`conda <https://gudhi.inria.fr/conda/>`_.
  +Packages
  +********
  +The easiest way to install the Python version of GUDHI is using pre-built packages.
  +We recommend `conda <https://gudhi.inria.fr/conda/>`_
  +
  +.. code-block:: bash
  +
  + conda install -c conda-forge gudhi
  +
  +Gudhi is also available on `PyPI <https://pypi.org/project/gudhi/>`_
  +
  +.. code-block:: bash
  +
  + pip install gudhi
  +
  +Third party packages are also available, for instance on Debian or Ubuntu
  +
  +.. code-block:: bash
  +
  + apt install python3-gudhi
  +
  +In all cases, you may still want to install some of the optional `run time dependencies`_.
  Compiling
  *********
  +These instructions are for people who want to compile gudhi from source, they are
  +unnecessary if you installed a binary package of Gudhi as above. They assume that
  +you have downloaded a `release <https://github.com/GUDHI/gudhi-devel/releases>`_,
  +with a name like `gudhi.3.2.0.tar.gz`, then run `tar xf gudhi.3.2.0.tar.gz`, which
  +created a directory `gudhi.3.2.0`, hereinafter referred to as `/path-to-gudhi/`.
  +If you are instead using a git checkout, beware that the paths are a bit
  +different, and in particular the `python/` subdirectory is actually `src/python/`
  +there.
  +
  The library uses c++14 and requires `Boost <https://www.boost.org/>`_ :math:`\geq` 1.56.0,
  `CMake <https://www.cmake.org/>`_ :math:`\geq` 3.1 to generate makefiles,
  `NumPy <http://numpy.org>`_, `Cython <https://www.cython.org/>`_ and
  `pybind11 <https://github.com/pybind/pybind11>`_ to compile
  the GUDHI Python module.
  It is a multi-platform library and compiles on Linux, Mac OSX and Visual
  -Studio 2017.
  +Studio 2017 or later.
  On `Windows <https://wiki.python.org/moin/WindowsCompilers>`_ , only Python
  :math:`\geq` 3.5 are available because of the required Visual Studio version.
  