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SkillsCast

Python Dependencies

25th July 2018 in London at CodeNode

There are 3 other SkillsCasts available from Neo4j July

In this QuickGraph Mark will show you how to find the dependencies between your pip modules and import them into Neo4j. We'll import the dependency graph of a few popular libraries - scikit-learn, tensorflow, pandas, and neo4j - and see what they have between them. If we get time we'll even run graph algorithms over the dependency graph to see what it reveals.

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Python Dependencies

Mark Needham

Mark is a graph advocate and field engineer for Neo Technology, the company behind the Neo4j graph database. As a field engineer, Mark helps customers embrace graph data and Neo4j by building sophisticated solutions to challenging data problems.

SkillsCast

In this QuickGraph Mark will show you how to find the dependencies between your pip modules and import them into Neo4j. We'll import the dependency graph of a few popular libraries - scikit-learn, tensorflow, pandas, and neo4j - and see what they have between them. If we get time we'll even run graph algorithms over the dependency graph to see what it reveals.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Python Dependencies

Mark Needham

Mark is a graph advocate and field engineer for Neo Technology, the company behind the Neo4j graph database. As a field engineer, Mark helps customers embrace graph data and Neo4j by building sophisticated solutions to challenging data problems.