Neo4j Tutorial - UMD Classes -- Tutorials

This folder contains the setup for running a Neo4j graph database tutorial within a containerized environment

Quick Start¶

From the root of the repository, change your directory to the Neo4j tutorial folder:
```
> cd tutorials/tutorial_neo4j
```
Build the Docker image:
```
> ./docker_build.sh
```
Launch Jupyter Lab in the container:
```
> ./docker_jupyter.sh
```
Once ./docker_jupyter.sh is running, follow this sequence:
1. neo4j.API.ipynb: Start here to learn the Neo4j native API — connecting to the server, creating nodes and relationships, and using Cypher write/read clauses.
2. neo4j.example.ipynb: Proceed to this notebook for a complete application that builds a Movie-Director graph from the Netflix dataset and visualizes it with NetworkX.
For more information on the Docker build system refer to Project template readme