This Week in Neo4j – Graphlytic Styles, Graphileon API Endpoints, O’Reilly Knowledge Graphs Course, Twitter Hashtags, Kafka with Neo4j AuraDB, Collatz Conjecture, Reactive Neo4j Spring Data

The Neo4j community is featured in this issue, with several developers and users sharing their knowledge and experiences. Alexios Pantavos, a developer at Akelius, Residential Property AB, is highlighted as the featured community member of the week, having provided extensive help to other community members through his volunteer work. Graphlytic has published a video tutorial on style mapping rules for Neo4j graphs, while Graphileon has demonstrated how to create public and private API endpoints using their tool. Clair Sullivan from Neo4j will be teaching a four-hour course on Knowledge Graphs for ML on October 7 through O'Reilly Online Learning. Pankaj Kumar has shared his experience with analyzing Twitter data using the Neo4j graph database, while David Allen introduces the use of Kafka and Neo4j AuraDB in his recent article. Adrien Sales experimented with the Collatz Conjecture problem by creating a graph and analyzing some data using Neo4j's Graph Data Science Library. Jennifer Reif has published an article on migrating from Neo4j Spring Data 5 to 6, incorporating reactive programming into the application. The issue also includes news about new Developer Relations videos and a tweet of the week.