WIP: Add a Getting Started section to the docs

Author: adamnsch

docs/source/api-reference/graph.rst

@@ -0,0 +1,2 @@
+.. autoclass:: neo4j_viz.Node
+    :members:

docs/source/api-reference/node.rst

@@ -0,0 +1,2 @@
+.. autoclass:: neo4j_viz.Relationship
+    :members:

docs/source/api-reference/relationship.rst

@@ -0,0 +1,2 @@
+.. autoclass:: neo4j_viz.VisualizationGraph
+    :members:

docs/source/api-reference/visualization-graph.rst

@@ -1,2 +1,79 @@
 Getting Started
----------------
+===============
+
+In this section, we will cover the very basics of creating a visualization graph using the `neo4j-viz` library.
+We will use a small toy graph representing the purchase history of a few people and products.
+
+To follow along with the example below, please make sure you have :doc:`installed the library<./installation>` first.
+
+We start by instantiating the :doc:`Nodes <./api-reference/node>` and :doc:`Relationships <./api-reference/relationship>` we want in our graph.
+The only mandatory fields for a node are the "id", and "source" and "target" for a relationship.
+But the other fields can optionally be used customize the appearance of the nodes and relationships in the visualization.
+
+Lastly we instantiate a :doc:`VisualizationGraph <./api-reference/visualization-graph>` object with the nodes and relationships we created, and call its `render` method to display the graph.
+
+.. code-block:: python
+
+    nodes = [
+        Node(id=0, size=10, caption="Person"),
+        Node(id=1, size=10, caption="Product"),
+        Node(id=2, size=20, caption="Product"),
+        Node(id=3, size=10, caption="Person"),
+        Node(id=4, size=10, caption="Product"),
+    ]
+    relationships = [
+        Relationship(
+            source=0,
+            target=1,
+            caption="BUYS",
+        ),
+        Relationship(
+            source=0,
+            target=2,
+            caption="BUYS",
+        ),
+        Relationship(
+            source=3,
+            target=2,
+            caption="BUYS",
+        ),
+    ]
+
+    VG = VisualizationGraph(nodes=nodes, relationships=relationships)
+
+    VG.render()
+
+TODO: Add graphics here
+
+As we can see in the graph above, the radius of one of the nodes is larger than the others.
+This is because we set the "size" field of the node to 20, while the others are set to 10.
+
+At this time all nodes have the same color.
+If we want to distinguish between the different types of nodes, we can color them differently with the `color_nodes` method.
+We can pass the field we want to use to color the nodes as an argument.
+In this case, we will use the "caption" field.
+Nodes with the same "caption" will have the same color.
+We will use the default colorscheme, which is the Neo4j colorscheme.
+
+.. code-block:: python
+
+    VG.color_nodes("caption")
+
+    VG.render()
+
+TODO: Add graphics here
+
+We are now easily able to distinguish between the different types of nodes in the graph.
+
+Next steps
+----------
+
+Now that we have covered the basics of creating and rendering a visualization graph, we can move on to more advanced topics.
+
+Here are some suggestions for what to do next:
+
+* Import a graph from pandas dataframes: :doc:`API reference <./api-reference/from_pandas>` and :doc:`notebook example <./tutorials/snowpark-nvl-example>`
+* Import a graph from Neo4j Graph Data Science: :doc:`API reference <./api-reference/from_gds>` and :doc:`notebook example <./tutorials/gds-nvl-example>`
+* Customize the appearance of the nodes and relationships: :doc:`Node API reference <./api-reference/node>` and :doc:`Relationship API reference <./api-reference/relationship>`
+* Check out the rendering options and convenience methods of `VisualizationGraph`: :doc:`VisualizationGraph API reference <./api-reference/visualization-graph>`
+* Browse the :doc:`tutorials <./tutorials/index>` for more examples and use cases

docs/source/getting-started.rst

@@ -6,7 +6,7 @@
 Graph Visualization for Python by Neo4j documentation
 =====================================================
 
-This is the documentation for the `neo4j_viz` Python library by Neo4j for creating interactive graph visualizations.
+This is the documentation for the `neo4j-viz` Python library by Neo4j for creating interactive graph visualizations.
 
 
 .. toctree::

docs/source/index.rst

@@ -6,7 +6,7 @@
 Tutorials
 =====================================================
 
-This chapter contains Jupyter notebook tutorials for the `neo4j_viz` package.
+This chapter contains Jupyter notebook tutorials for the `neo4j-viz` package.
 
 
 .. toctree::