Update the tutorial section and separate the tutorial for updating pydpf-core server-side

Author: PProfizi

doc/source/user_guide/tutorials/custom_operators_and_plugins/index.rst

@@ -6,6 +6,26 @@ You can enhance and customize your DPF installation by creating new operators an
 
 DPF offers multiple development APIs depending on your environment.
 
+With support for custom operators, PyDPF-Core becomes a development tool offering:
+
+- **Accessibility:** A simple script can define a basic operator plugin.
+
+- **Componentization:** Operators with similar applications can be grouped in Python plug-in packages.
+
+- **Easy distribution:** Standard Python tools can be used to package, upload, and download custom operators.
+
+- **Dependency management:** Third-party Python modules can be added to the Python package.
+
+- **Reusability:** A documented and packaged operator can be reused in an infinite number of workflows.
+
+- **Remotable and parallel computing:** Native DPF capabilities are inherited by custom operators.
+
+The only prerequisite for creating custom operators is to be familiar with native operators.
+For more information, see :ref:`ref_user_guide_operators`.
+
+.. note:
+    You can create custom operators in CPython using PyDPF-Core for use with DPF in Ansys 2023 R1 and later.
+
 The following tutorials demonstrate how to develop such plugins using PyDPF-Core (CPython based) and how to use them.
 
 .. grid:: 1 1 3 3
@@ -34,11 +54,19 @@ The following tutorials demonstrate how to develop such plugins using PyDPF-Core
 
        This tutorial shows how to create a Python plug-in package with third-party dependencies.
 
+    .. grid-item-card:: Update PyDPF-Core in the DPF installation
+        :link: tutorials_custom_operators_update_pydpf_core
+        :link-type: ref
+        :text-align: center
+
+        This tutorial shows how to update PyDPF-Core in your DPF installation.
+
 .. toctree::
     :maxdepth: 2
     :hidden:
 
     custom_operators.rst
     custom_plug_in_package.rst
     custom_plug_in_package_third_deps.rst
+    update_pydpf_core.rst
 

doc/source/user_guide/tutorials/custom_operators_and_plugins/update_pydpf_core.rst

@@ -0,0 +1,30 @@
+
+Install module
+--------------
+
+Once an Ansys-unified installation is complete, you must install the ``ansys-dpf-core`` module in the Ansys
+installer's Python interpreter.
+
+#. Download the script for you operating system:
+
+   - For Windows, download this :download:`PowerShell script </user_guide/tutorials/enriching_dpf_capabilities/install_ansys_dpf_core_in_ansys.ps1>`.
+   - For Linux, download this :download:`Shell script </user_guide/tutorials/enriching_dpf_capabilities/install_ansys_dpf_core_in_ansys.sh>`
+
+#. Run the downloaded script for installing with optional arguments:
+
+   - ``-awp_root``: Path to the Ansys root installation folder. For example, the 2023 R1 installation folder ends
+     with ``Ansys Inc/v231``, and the default environment variable is ``AWP_ROOT231``.
+   - ``-pip_args``: Optional arguments to add to the ``pip`` command. For example, ``--extra-index-url`` or
+     ``--trusted-host``.
+
+If you ever want to uninstall the ``ansys-dpf-core`` module from the Ansys installation, you can do so.
+
+#. Download the script for your operating system:
+
+   - For Windows, download this :download:`PowerShell script </user_guide/tutorials/enriching_dpf_capabilities/uninstall_ansys_dpf_core_in_ansys.ps1>`.
+   - For Linux, download this :download:`Shell script </user_guide/tutorials/enriching_dpf_capabilities/uninstall_ansys_dpf_core_in_ansys.sh>`.
+
+#. Run the downloaded script for uninstalling with the optional argument:
+
+   - ``-awp_root``: Path to the Ansys root installation folder.  For example, the 2023 R1 installation folder ends
+     with ``Ansys Inc/v231``, and the default environment variable is ``AWP_ROOT231``.