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Co-authored-by: Kathy Pippert <[email protected]>
ansys · Jan 8, 2025 · fc436a7 · fc436a7
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diff --git a/doc/source/getting_started/compatibility.rst b/doc/source/getting_started/compatibility.rst
@@ -8,7 +8,7 @@ Operating system
 ----------------
 
 DPF supports Windows 10 and Rocky Linux 8 and later.
-To run DPF on CentOS 7, use DPF for 2024 R2 (8.2) or older.
+To run DPF on CentOS 7, use DPF for 2024 R2 (8.2) or later.
 For more information, see `Ansys Platform Support <https://www.ansys.com/solutions/solutions-by-role/it-professionals/platform-support>`_.
 
 Client-server

diff --git a/doc/source/getting_started/dpf_server.rst b/doc/source/getting_started/dpf_server.rst
@@ -98,10 +98,10 @@ to use thanks to its ``ansys_path`` argument.
 PyDPF otherwise follows the logic below to automatically detect and choose which locally installed
 version of DPF Server to run:
 
-- it uses the ``ANSYS_DPF_PATH`` environment variable in priority if set and targeting a valid path to a DPF Server installation.
-- it then checks the currently active Python environment for any installed standalone DPF Server, and uses the latest version available.
-- it then checks for ``AWP_ROOTXXX`` environment variables, which are set by the **Ansys installer**, and uses the latest version available.
-- it then raises an error if all of the steps above failed to return a valid path to a DPF Server installation.
+- It uses the ``ANSYS_DPF_PATH`` environment variable in priority if set and targeting a valid path to a DPF Server installation.
+- It then checks the currently active Python environment for any installed standalone DPF Server, and uses the latest version available.
+- It then checks for ``AWP_ROOTXXX`` environment variables, which are set by the **Ansys installer**, and uses the latest version available.
+- It then raises an error if all of the preceding steps failed to return a valid path to a DPF Server installation.
 
 Run DPF Server in a Docker container
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

diff --git a/doc/source/getting_started/install.rst b/doc/source/getting_started/install.rst
@@ -65,7 +65,7 @@ then use the following command from within this local directory:
 Note that PyDPF-Core wheelhouses do not include the optional plotting dependencies.
 To use the plotting capabilities, also download the wheels corresponding to your platform and Python interpreter version
 for `PyVista <https://pypi.org/project/pyvista/#files>`_ and 
-`matplotlib <https://pypi.org/project/matplotlib/#files>`_, then place them in the same previous local directory and run the command above.
+`matplotlib <https://pypi.org/project/matplotlib/#files>`_. Then, place them in the same local directory and run the preceding command.
 
 
 Install in development mode