Make headers GPL compliant and removed __pkginfo__

Doc/conf.py

@@ -41,8 +41,8 @@
 # project = 'MDANSE'
 # copyright = '2015-2022, Eric Pellegrini'
 author = 'Eric Pellegrini'
-release = '1.5.2'
-version = '1.5'
+release = '2.0.0a1'
+version = '2.0'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
@@ -86,7 +86,7 @@
 current_year = datetime.date.today().year
 # General information about the project.
 project = u'MDANSE'
-copyright = u'2015-' + str(current_year) + u', MDANSE is developed and supported by the Institut Laue-Langevin and the ISIS Neutron and Muon Source', '![UKRI Logo](_static/UKRI_Logo.png)'
+copyright = u'2015-' + str(current_year) + u', MDANSE is developed and supported by the Institut Laue-Langevin and the ISIS Neutron and Muon Source, ![UKRI Logo](_static/UKRI_Logo.png)'
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the

Doc/pages/T_start.rst

@@ -1,6 +1,8 @@
 Tutorial: Get started (Installation)
 ====================================
 
+.. _installation_tutorial:
+
 MDANSE Installation Steps
 --------------------------
 
@@ -42,7 +44,7 @@ activation command varies by operating system:
 
 - On Windows:
 
-  .. code-block:: bash
+  .. code-block:: console
 
      mdanse\Scripts\activate
 
@@ -53,7 +55,7 @@ Use `pip` to install the MDANSE package from the specified GitHub repository:
 
 .. code-block:: bash
 
-   python -m pip install "git+https://github.com/ISISNeutronMuon/MDANSE@protos#egg=MDANSE&subdirectory=MDANSE"
+   pip install MDANSE
 
 Install MDANSE_GUI Package
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -62,16 +64,7 @@ Similarly, install the MDANSE_GUI package using `pip`:
 
 .. code-block:: bash
 
-   python -m pip install "git+https://github.com/ISISNeutronMuon/MDANSE@protos#egg=MDANSE_GUI&subdirectory=MDANSE_GUI"
-
-Install PyQt6
-~~~~~~~~~~~~~
-
-MDANSE relies on PyQt6, a Python binding for the Qt library. Install it using `pip`:
-
-.. code-block:: bash
-
-   pip install PyQt6
+   pip install MDANSE_GUI
 
 Run MDANSE
 ~~~~~~~~~~

Doc/pages/files.rst

@@ -34,9 +34,10 @@ HDF5 format using the Trajectory Converter tool.
 DAT File Format
 -----------------
 
-During an Analysis in MDANSE, the default output format is now `DAT files <https://en.wikipedia.org/wiki/DAT_file>`_, which
+An alternative output format of Analysis results is in the form of 
+`DAT files <https://en.wikipedia.org/wiki/DAT_file>`_, which
 are text-based and easily readable. Each DAT file corresponds to a specific
-variable generated during the analysis. If the ASCII option is selected, a
+variable generated during the analysis. If the Text option is selected, a
 tarball is generated, which contains multiple files, including:
 
 - ``jobinfo.txt``: A text file documenting the analysis options selected during
@@ -68,35 +69,3 @@ repetitive tasks and ensuring consistency in analysis procedures.
 This update streamlines the analysis process and facilitates the reproducibility
 of results within MDANSE.
 
-.. _convert_netcdf:
-
-NetCDF to HDF5 Conversion Script
----------------------------------------
-
-MDANSE now provides a versatile Python script that simplifies the process
-of converting existing NetCDF files to the HDF5 format. This script is especially
-valuable for users with legacy data stored in NetCDF files who wish to take
-advantage of the enhanced capabilities and compatibility offered by MDANSE's
-shift to HDF5.
-
-To perform the conversion, follow these steps:
-
-1. Open a terminal or command prompt.
-2. Navigate to the directory containing the NetCDF files you want to convert.
-3. Run the following command, replacing [input_file.nc] with the name of your
-   NetCDF file and [output_file.h5] with your desired name for the resulting
-   HDF5 file::
-
-      .. code-block:: bash
-
-         python convert_netcdf_to_hdf5.py [input_file.nc] [output_file.h5]
-
-   This command will execute the conversion script and generate an HDF5 file
-   with the specified name.
-
-4. Once the conversion is complete, you can use the newly created HDF5 file
-   seamlessly within MDANSE for advanced analysis and visualization.
-
-This convenient script streamlines the migration of existing data to the HDF5
-format, ensuring that users can leverage MDANSE's enhanced features while
-preserving their valuable data.