Extend Getting started in READMEs with small example

README.md

@@ -51,10 +51,66 @@ Please note that this list is by no means exhaustive.
 
 ## Getting started
 
-```
+
+### Installation
+
+Simply install with pip:
+
+```sh
 pip install neo4j-viz
 ```
 
+
+### Basic usage
+
+We will use a small toy graph representing the purchase history of a few people and products.
+
+We start by instantiating the [Nodes](https://neo4j.com/docs/nvl-python/preview/api-reference/node.html) and
+[Relationships](https://neo4j.com/docs/nvl-python/preview/api-reference/relationship.html) 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 to customize the appearance of the nodes and relationships in the
+visualization.
+
+Lastly we create a
+[VisualizationGraph](https://neo4j.com/docs/nvl-python/preview/api-reference/visualization-graph.html) object with the
+nodes and relationships we created, and call its `render` method to display the graph.
+
+```python
+from neo4j_viz import Node, Relationship, VisualizationGraph
+
+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()
+```
+
+This will return a `IPython.display.HTML` object that can be rendered in a Jupyter Notebook or streamlit application.
+
+
 ### Examples
 
 For some Jupyter Notebook and streamlit examples, checkout the [/examples](/examples)  directory.

python-wrapper/README.md

@@ -3,14 +3,22 @@
 [![Latest version](https://img.shields.io/pypi/v/neo4j-viz)](https://pypi.org/project/neo4j-viz/)
 [![PyPI downloads month](https://img.shields.io/pypi/dm/neo4j-viz)](https://pypi.org/project/neo4j-viz/)
 ![Python versions](https://img.shields.io/pypi/pyversions/neo4j-viz)
+[![Documentation](https://img.shields.io/badge/Documentation-latest-blue)](https://neo4j.com/docs/nvl-python/preview/)
+[![Discord](https://img.shields.io/discord/787399249741479977?label=Chat&logo=discord)](https://discord.gg/neo4j)
+[![Community forum](https://img.shields.io/website?down_color=lightgrey&down_message=offline&label=Forums&logo=discourse&up_color=green&up_message=online&url=https%3A%2F%2Fcommunity.neo4j.com%2F)](https://community.neo4j.com)
+[![License](https://img.shields.io/pypi/l/neo4j-viz)](https://pypi.org/project/neo4j-viz/)
+
+`neo4j-viz` is a Python package for creating interactive graph visualizations based on data from Neo4j products.
+
+The output is of type `IPython.display.HTML` and can be viewed directly in a Jupyter Notebook, Streamlit.
+Alternatively, you can export the output to a file and view it in a web browser.
 
-`neo4j-viz` is a Python package for creating interactive graph visualizations.
 The package wraps the [Neo4j Visualization JavaScript library (NVL)](https://neo4j.com/docs/nvl/current/).
 
 Proper documentation is forthcoming.
 
-**WARNING:**
-This package is still in development and the API is subject to change.
+> [!WARNING]
+> This package is still in development and the API is subject to change.
 
 
 ## Some notable features
@@ -39,8 +47,69 @@ This package is still in development and the API is subject to change.
 Please note that this list is by no means exhaustive.
 
 
-## Installation
+## Getting started
 
-```
+
+### Installation
+
+Simply install with pip:
+
+```sh
 pip install neo4j-viz
-```
+```
+
+
+### Basic usage
+
+We will use a small toy graph representing the purchase history of a few people and products.
+
+We start by instantiating the [Nodes](https://neo4j.com/docs/nvl-python/preview/api-reference/node.html) and
+[Relationships](https://neo4j.com/docs/nvl-python/preview/api-reference/relationship.html) 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 to customize the appearance of the nodes and relationships in the
+visualization.
+
+Lastly we create a
+[VisualizationGraph](https://neo4j.com/docs/nvl-python/preview/api-reference/visualization-graph.html) object with the
+nodes and relationships we created, and call its `render` method to display the graph.
+
+```python
+from neo4j_viz import Node, Relationship, VisualizationGraph
+
+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()
+```
+
+This will return a `IPython.display.HTML` object that can be rendered in a Jupyter Notebook or streamlit application.
+
+
+### Examples
+
+For more extensive examples, including how to import graphs from Neo4j GDS projections and Pandas DataFrames,
+checkout the [tutorials chapter](https://neo4j.com/docs/nvl-python/preview/tutorials/index.html) in the documentation.