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-rw-r--r--Docs/source/building/building.rst2
-rw-r--r--Docs/source/visualization/yt.rst17
2 files changed, 4 insertions, 15 deletions
diff --git a/Docs/source/building/building.rst b/Docs/source/building/building.rst
index d07cfaecd..70c5ab7a9 100644
--- a/Docs/source/building/building.rst
+++ b/Docs/source/building/building.rst
@@ -42,7 +42,7 @@ options are set in the file ``GNUmakefile``. The default
options correspond to an optimized code for 3D geometry. The main compile-time
options are:
- * ``DIM=3D`` or ``2D``: Geometry of the simulation (note that running an executable compiled for 3D with a 2D input file will crash).
+ * ``DIM=3`` or ``2``: Geometry of the simulation (note that running an executable compiled for 3D with a 2D input file will crash).
* ``DEBUG=FALSE`` or ``TRUE``: Compiling in ``DEBUG`` mode can help tremendously during code development.
* ``USE_PSATD=FALSE`` or ``TRUE``: Compile the Pseudo-Spectral Analytical Time Domain Maxwell solver. Requires an FFT library.
* ``USE_RZ=FALSE`` or ``TRUE``: Compile for 2D axisymmetric geometry.
diff --git a/Docs/source/visualization/yt.rst b/Docs/source/visualization/yt.rst
index a9e4fb964..1f20f502c 100644
--- a/Docs/source/visualization/yt.rst
+++ b/Docs/source/visualization/yt.rst
@@ -8,25 +8,14 @@ to use yt within a `Jupyter notebook <http://jupyter.org/>`__.
Installation
------------
-From the terminal:
-
-::
-
- pip install yt jupyter
-
-or with the `Anaconda distribution <https://anaconda.org/>`__ of python (recommended):
-
-::
-
- conda install -c conda-forge yt
-
-The latest version of `yt` can be required for advanced options (e.g., rigid
-injection for particles). To built `yt` directly from source, you can use
+From the terminal, install the latest version of yt:
::
+ pip install cython
pip install git+https://github.com/yt-project/yt.git
+Alternatively, yt can be installed via their installation script, see `yt installation web page <https://yt-project.org/doc/installing.html>`__, which can be particularly useful to setup a post-processing workflow on supercomputers.
Visualizing the data
--------------------