Merge pull request #93 from AntoinePrv/screenshots

More screenshots

README.rst

@@ -47,6 +47,12 @@ Interactive Plotly plots
 .. image:: docs/source/interactive-plotly-plots.png
    :alt: Interactive Plotly plots
 
+Rich display of tables
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: docs/source/rich-display-tables.png
+   :alt: Rich display of tables
+
 Rich display of structs
 ~~~~~~~~~~~~~~~~~~~~~~~
 
@@ -59,6 +65,31 @@ Rich display of LaTeX equations
 .. image:: docs/source/rich-display-latex-and-input.png
    :alt: Rich display of LaTeX equations
 
+Rich display of images
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: docs/source/rich-display-images.png
+   :alt: Rich display of images
+
+Code completion
+~~~~~~~~~~~~~~~
+
+.. image:: docs/source/code-completion.png
+   :alt: Dropdown completion of a function
+
+Code inspection and contextual help
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: docs/source/code-inspection.png
+   :alt: Queriyng the help of a function
+
+.. image:: docs/source/contextual-help.png
+   :alt: Contextual help shown dynamically
+
+Stream support
+~~~~~~~~~~~~~~
+.. image:: docs/source/stream-support.png
+   :alt: Input and ouput streams
 
 Installation
 ------------

docs/source/usage.rst

@@ -12,6 +12,26 @@ Usage
 Launch the Jupyter notebook with ``jupyter notebook`` or Jupyter lab with ``jupyter lab`` and launch
 a new Python notebook by selecting the **xoctave** kernel.
 
+Code completion
+---------------
+
+.. image:: code-completion.png
+   :alt: Dropdown completion of a function
+
+Code inspection and contextual help
+-----------------------------------
+
+.. image:: code-inspection.png
+   :alt: Queriyng the help of a function
+
+.. image:: contextual-help.png
+   :alt: Contextual help shown dynamically
+
+Stream support
+--------------
+.. image:: stream-support.png
+   :alt: Input and ouput streams
+
 Visualisation
 =============
 Graphical toolkit
@@ -24,12 +44,18 @@ The ``notebook`` toolkit renders plots as inline images in the notebook.
 The render is done natively using OpenGL on the kernel side.
 Select this toolkit using ``graphics_toolkit notebook`` in the notebook.
 
+.. image:: native-octave-plots.png
+   :alt: Native Octave plots
+
 Plotly toolkit
 ~~~~~~~~~~~~~~
 The experimental ``plotly`` toolkit calls `Plotly <https://github.com/plotly/plotly.js>`_
 web API to render plot as interactive HTML elements, with zoom, cursors, and hover tooltips.
 Select this toolkit using ``graphics_toolkit plotly`` in the notebook.
 
+.. image:: interactive-plotly-plots.png
+   :alt: Interactive Plotly plots
+
 With Jupyter lab, the plotly extension is also needed.
 It can be installed with ``conda``/``mamba`` (or ``pip``)
 
@@ -44,9 +70,27 @@ for detailed instructions and troubleshooting.
 
 Other
 -----
-More visualisations include:
 
-* Matrices shown as tables;
-* Structs shown as json;
-* Symbolic classes as latex;
-* Transfer functions in ``control`` package.
+Rich display of tables
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: rich-display-tables.png
+   :alt: Rich display of tables
+
+Rich display of structs
+~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: rich-display-structs.png
+   :alt: Rich display of structs
+
+Rich display of LaTeX equations
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: rich-display-latex-and-input.png
+   :alt: Rich display of LaTeX equations
+
+Rich display of images
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: rich-display-images.png
+   :alt: Rich display of images