Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days.
This week we have product review predictions with Tensorflow and Neo4j, tips and tricks for passing the Neo4j Certification, combining Neo4j APOC spatial functions with the Neo4j Graph Algorithms A* Algorithm, and more.
Featured Community Member: Fabio Lamanna
Fabio Lamanna – This Week’s Featured Community Member
Fabio has a background in transportation networks, urban mobility and data analysis and I first came across him from his work analysing migration patterns in 2017.
Fabio presented at the Data Science Milan meetup last September, where he showed how to combine Neo4j and Python (Italian) and last week presented Discovering the Power of Graph Databases with Python and Neo4j at PyCon Italia.
On behalf of the Neo4j community, thanks for all your work Fabio!
GraphQL, Neo4j Certification, A* Algorithm
- Michelle Sanver has written a blog post titled Neo4j graph database and GraphQL: A perfect match, in which she shows how to install and use the GraphQL plugin to execute GraphQL queries against Neo4j.
- My colleague Jennifer Reif shares some tips and tricks on studying for and passing the Neo4j Certification.
- In Tomaz Bratanic‘s latest blog post he shows how to combine Neo4j APOC spatial functions with the Neo4j Graph Algorithms A* Algorithm to help plan your next trip around Europe.
Tensorflow and Neo4j, New Release of Pypher, Cypher on Node-RED
- David Mack has written a new installment in his series of posts on graph based machine learning. This time he creates an embedding to predict product reviews using Neo4j and Tensorflow.
- Mark Henderson released version 0.7 of Pypher, a small library that aims to make it easier to use Neo4j from Python by constructing Cypher queries from pure Python objects. This version includes property map, map, and map projection support, as well as a simple CLI app that allows you test your Pypher scripts in real time.
- sandman0 released node-red-contrib-nulli-neo4j, a Node-RED node that lets you run generic cypher queries on a Neo4j graph database. Node-RED is a programming tool for wiring together Internet of Things devices in new and interesting ways.
What’s happening next week in the world of graph databases?
May 3rd 2018
Tweet of the Week
My favourite tweet this week was by Aaron Lelevier:
A more extensive graph of my Github followers using Neo4j, Python, and Github API. I only have 11 followers, but my followers have more [capped at 30 for visualization sakes] pic.twitter.com/n2wA51jyNG— Aaron Lelevier (@aaronlelevier) April 25, 2018
Don’t forget to RT if you liked it too.
That’s all for this week. Have a great weekend!
About the Author
Mark Needham, Developer Relations Engineer
Mark Needham is a graph advocate and developer relations engineer at Neo4j.
As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com. He tweets at @markhneedham.
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