Vale checks review

Author: RobPasMue

doc/source/API/index.rst

@@ -3,7 +3,7 @@ API reference
 =============
 
 This section describes PyDyna core classes, methods, and functions
-for Dyna apps and modules. Use the search feature or click links
+for LS-Dyna apps and modules. Use the search feature or click links
 to view API documentation.
 
 .. toctree::

doc/source/API/pre.rst

@@ -1,5 +1,6 @@
 PyDyna-pre APIs
-================
+===============
+
 The PyDyna-pre API includes classes for apps and modules.
 
 .. currentmodule:: ansys.dyna.core

doc/source/Resources/Getting_Started.rst

@@ -10,4 +10,4 @@ option is for you to download the code from GitHub:
 
    git clone https://github.com/pyansys/pyDyna
 
-and copy the required files
+and copy the required files.

doc/source/Resources/User_Guide.rst

@@ -1,30 +1,30 @@
-User Guide
+User guide
 ----------
 
-There are 3 related packages here, all under the ansys/dyna/ directory.
+There are 3 related packages here, all under the ``ansys/dyna`` directory.
 
 PyDyna-pre provides interface to create DYNA input deck.
 
 PyDyna-solver contains code for interfacing with the LS-DYNA solver directly.
 As LS-DYNA is primarily a batch solver with very limited interactive
-capabilities, the code here is similarly limited.  The target
-use case is that LS-DYNA will be running in a container environment
-such as Docker or Kubernetes.  The code here then allows for pushing
+capabilities, the code here is similarly limited. The target
+use case is that LS-DYNA is running in a container environment
+such as Docker or Kubernetes. The code here then allows for pushing
 input files to the container, starting LS-DYNA and monitoring its
 progress, and retrieving results files.
 
 The Data Processing Framework (DPF) is designed to provide numerical
 simulation users/engineers with a toolbox for accessing and
 transforming simulation data. DPF can access data from solver result
-files as well as several neutral formats (csv, hdf5, vtk,
+files as well as several neutral formats (``.csv``, ``.hdf5``, ``.vtk``,
 etc.). Various operators are available allowing the manipulation and
 the transformation of this data.
 
 The Python `ansys-dpf-post` package provides a simplified Python
 interface to DPF, thus enabling rapid postprocessing without ever
-leaving a Python environment. 
+leaving a Python environment.
 
-Visit the [DPF-Post Documentation](https://postdocs.pyansys.com) for a
+Visit the `DPF-Post Documentation <https://post.docs.pyansys.com>`_ for a
 detailed description of the package
 
 .. toctree::