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Neo4j Cookbook

You're reading from   Neo4j Cookbook Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes

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Product type Paperback
Published in May 2015
Publisher
ISBN-13 9781783287253
Length 226 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Ankur Goel Ankur Goel
Author Profile Icon Ankur Goel
Ankur Goel
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Neo4j 2. Connecting to Neo4j FREE CHAPTER 3. The Cypher Query Language 4. Data Modeling and Leveraging with Neo4j 5. Mining the Social Treasure 6. Developing Location-based Services with Neo4j 7. Visualization of Graphs 8. Industry Usages of Neo4j 9. Neo4j Administration and Maintenance 10. Scaling Neo4j Index

Accessing the embedded Neo4j from Python


Python is getting increasingly popular nowadays, and, in this recipe, we will learn how to connect to the Neo4j embedded graph server from the Python client.

Getting ready

Embedded Neo4j is an excellent binding module available in Python to access the Neo4j embedded database. The following steps describe the use of this module:

  1. Install the JPype Python module, as shown in the following command:

    $ sudo apt-get install python-jpype
    

    It can also be installed from the source available at http://sourceforge.net/projects/jpype/files/JPype/.

  2. Install Neo4j embedded using either pip or easy_install, as follows:

    $ pip install neo4j-embedded
    $ easy_install neo4j-embedded
    

How to do it...

Perform the following steps in order to access Neo4j from Python:

  1. Let's create our first node using the following code:

    import neo4j
    db_obj =  neo4j.GraphDatabase(DB_PATH)
    # All write operations on graph database happens in transaction
    with db_obj.transaction:
      node = db_obj.node(name...
You have been reading a chapter from
Neo4j Cookbook
Published in: May 2015
Publisher:
ISBN-13: 9781783287253
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