So, you want to build a python app or Jupyter notebook to utilize Neo4j, but aren't too keen on coding a lot of string manipulation to programmatic create ad-hoc Cypher queries? You're in the right place: the NeoAccess library can do take care of all that, sparing you from lengthy, error-prone development that requires substantial graph-database and software-development expertise! This article is part 4 of a growing, ongoing series on Graph Databases and Neo4j "NeoAccess" is the bottom layer of the technology stack provided by the BrainAnnex open-source project . All layers are very modular, and the NeoAccess library may also be used by itself , entirely separately from the rest of the technology stack. (A diagram of the full stack is shown later in this article.) NeoAccess interacts with the Neo4j Python driver , which is provided by the Neo4j company, to access the database from Python; the API to access that driver is very powerful, but complex - and does