Graph Data Modeling in Python : A practical guide to curating, analyzing, and modeling data with graphs
Enregistré dans:
Auteur principal: | Hutson, Gary. (Auteur) |
---|---|
Autres auteurs: | Jackson, Matt. (Auteur) |
Support: | E-Book |
Langue: | Anglais |
Publié: |
Birmingham :
Packt Publishing.
|
Autres localisations: | Voir dans le Sudoc |
Accès en ligne: | Accès à l'E-Book |
Lien: | Autre support:
Graph Data Modeling in Python : A practical guide to curating, analyzing, and modeling data with graphs / Gary Hutson, Matt Jackson |
Documents similaires
-
Neo4j graph data modeling : design efficient and flexible databases by optimizing the power of Neo4j
par: Lal, Mahesh.
Publié: 2015 -
Graph Data Processing with Cypher : A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
par: Anthapu, Ravindranatha. -
HTML5 graphing and data visualization cookbook
par: Fhala, Ben.
Publié: 2012 -
Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models
par: Layton, Robert (19..-....; informaticien).
Publié: 2015 -
Graph Data Science with Neo4j : Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project
par: Scifo, Estelle.