Documentation: add information about existing documentation and APIs

docs/source/concepts/waysofusing.rst

@@ -1,26 +1,81 @@
 .. _user_guide_waysofusing:
 
-=======================
-DPF scripting languages
-=======================
-DPF is available as a standalone tool and as a tool in Ansys Mechanical. 
-Each one uses a different language for scripting, so you should decide 
-whether you want to use standalone DPF or DPF in Mechanical before 
-creating any scripts. 
-
-CPython
--------
-Standalone DPF uses CPython and can be accessed with any Python console. 
+========================================
+DPF capabilities and scripting languages
+========================================
+
+DPF as a Framework enabling data computation capabilities
+---------------------------------------------------------
+
+DPF application: kernel and operator's libraries
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+DPF is a framework that provides data computation capabilities. These capabilities are provided
+through libraries of operators. To learn more about the computed data and the operator concepts, see :ref:`user_guide_concepts`.
+
+A DPF application is always composed of a kernel (DataProcessingCore and DPFClientAPI binaries),
+that enables capabilities by loading libraries of operators (for example, mapdlOperatorsCore library
+is basic library enabled by DPF).
+This application is also called a **DPF Server application**.
+
+When starting a DPF application, you can customize the list of operator's libraries that the kernel loads.
+To learn more on how to customize the initialization of a DPF application, see :ref:`user_guide_xmlfiles`.
+
+DPF client: available APIs and languages
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+DPF is a framework that provides data computation capabilities. These capabilities are
+enabled using the DPF Server application.
+These capabilities can be accessed through client APIs, as shown here:
+
+.. image:: ../images/drawings/apis_2.png
+
+
+
+  1. DPF server application can be accessed using Ansys Inc product, or DPF Server package (see :ref:`ref_getting_started_with_dpf_server`) available on the Customer portal.
+
+  2. Several client APIs are available (CPython, IronPython, C++, and so on).
+
+  3. Communication in the same process, or through gRPC, allows you to have the client and the servers on different machines.
+
+Note that **IronPython and CPython APIs are different**, each has specific syntax.
+
+The **list of available operators when using DPF is independent from the language or API which is used**, it only depends
+on how the DPF application has been initialized.
+
+Most of the DPF capabilities can be accessed using the operators. For more information about the existing operators, see the **Operators** tab.
+
+Enhance DPF capabilities
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+The available DPF capabilities loaded in a DPF application can be enhanced by creating new operator's libraries.
+DPF offers multiple development APIs depending on your environment. These plugins can be:
+
+- CPython based (see :ref:`user_guide_custom_operators`)
+
+- C++ based (see C++ documentation)
+
+DPF integration
+---------------
+DPF is available as a standalone tool and as a tool in Ansys Mechanical. You should decide whether you want
+to use standalone DPF or DPF in Mechanical before creating any scripts.
+
+DPF as a standalone application
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+**Standalone DPF** can be used through any of the previously mentioned APIs.
+
+In particular, DPF Standalone capabilities can be enabled using **CPython** and can be accessed via any Python console.
 Data can be exported to universal file formats, such as VTK, HDF5, and TXT
 files. You can use it to generate TH-plots, screenshots, and animations or
 to create custom result plots using the `numpy <https://numpy.org/>`_
 and `matplotlib <https://matplotlib.org/>`_ packages.
 
 .. image:: ../images/drawings/dpf-reports.png
 
-IronPython
-----------
-DPF in Mechanical uses IronPython and is accessible with the **ACT Console**. 
+Mechanical
+~~~~~~~~~~
+**DPF in Mechanical** uses IronPython and is accessible with the **ACT Console**.
 Use it to perform custom postprocessing and visualization of results directly 
 within the Mechanical application.
 

docs/source/getting_started/compatibility.rst

@@ -20,7 +20,14 @@ version 0.3.0 or later. With Ansys 2021 R1, you must use a PyDPF-Core 0.2
 version.
 
 As new features are developed, every attempt is made to ensure backward
-compatibility from the client to the server.
+compatibility from the client to the server. Backward compatibility is ensured for
+the 4 latest Ansys versions. For example, ansys-dpf-core module with 0.8.0 version has been
+developed for Ansys 2023 R2 pre1 release, for 2023 R2 Ansys version. It is compatible with
+2023 R2, 2023 R1, 2022 R2 and 2022 R1 Ansys versions.
+
+**Ansys strongly encourages you to use the latest packages available**, as far they are compatible
+with the Server version you want to use. Using Ansys 2022 R2, if ansys-dpf-core module with
+0.8.0 version is the latest available package, it should be used.
 
 The `ansys.grpc.dpf <https://pypi.org/project/ansys-grpc-dpf/>`_ package
 should also be synchronized with the server version.

docs/source/index.rst

@@ -76,6 +76,53 @@ DPF is developed around two core entities:
 Each DPF capability is developed through operators that allow for componentization
 of the framework. Because DPF is plugin-based, new features or formats can be easily added.
 
+Accessing and enriching DPF capabilities
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Most of the DPF capabilities can be accessed using the operators.
+For more information about the existing operators, see the **Operators** tab.
+
+The following sections are summaries. For more detailed content, see :ref:`user_guide_waysofusing`.
+
+**Accessing DPF Server files**
+
+DPF capabilities are accessible when DPF Server files are available. These files can be accessed using:
+
+- The **Ansys installer**. To use it, download the standard installation using your preferred distribution channel,
+and install Ansys following the installer instructions. For information on getting a licensed copy of Ansys,
+visit the `Ansys website <https://www.ansys.com/>`_.
+
+- The DPF Server package (see :ref:`ref_getting_started_with_dpf_server`).
+It is independent of the Ansys installer.
+
+**Accessing capabilities with scripting**
+
+- C++ documentation:
+
+  1. The Data Processing Framework section in `Platform panel <https://ansysapi.ansys.com/account/secured?returnurl=/Views/Secured/main_page.html?lang=en>`_.
+
+  2. `Developer Portal <https://developer.ansys.com/product/DPF-Server-Client-Library/index.xhtml>`_
+
+- CPython modules documentation:
+
+  1. `ansys-dpf-core <https://dpf.docs.pyansys.com/version/stable/>`_
+
+  2. `ansys-dpf-post <https://post.docs.pyansys.com/version/stable/>`_
+
+- Mechanical scripting (IronPython):
+
+  1. `DPF through Automation Scripting <https://ansysproducthelpdev.win.ansys.com/account/secured?returnurl=/Views/Secured/corp/v231/en/act_script/mech_apis_data_process_frame.html>`_
+
+  2. `Python Result object <https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/v231/en/wb_sim/ds_python_result.html>`_
+
+**Enriching DPF capabilities**
+
+- C++ operator's library (see C++ documentation)
+
+- `C++ solver reader plugin <https://astonishing-hyacinth-e64.notion.site/How-to-write-a-new-solver-reader-as-a-DPF-s-plugin-bd2d2a3cf51f47ef9e70df45d64f89cb>`_
+
+- :ref:`user_guide_custom_operators`
+
 
 .. toctree::
    :maxdepth: 2

docs/source/user_guide/getting_started_with_dpf_server.rst

@@ -146,7 +146,7 @@ To update the context, apply a new server context:
 
 .. code::
 
-    dpf.apply_server_context(dpf.AvailableServerContexts.premium)
+    server.apply_context(dpf.AvailableServerContexts.premium)
 
 .. _target_to_ansys_license_increments_list: