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  • Book Overview & Buying Building web applications with Python and Neo4j
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Building web applications with Python and Neo4j

Building web applications with Python and Neo4j

By : Sumit Gupta
4.3 (3)
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Building web applications with Python and Neo4j

Building web applications with Python and Neo4j

4.3 (3)
By: Sumit Gupta
Buy this Book

Overview of this book

If you are a Python developer and want to expand your understanding of Python-based web applications over Neo4j graph data models, this is the book for you.
Table of Contents (9 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Your First Query with Neo4j
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1. Your First Query with Neo4j
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Thinking in graphs for SQL developers
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Licensing and configuring – Neo4j
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Using the Neo4j shell
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Introducing the Neo4j REST interface
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Running queries from the Neo4j browser
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Summary
2
2. Querying the Graph with Cypher
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2. Querying the Graph with Cypher
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Basic anatomy of a Cypher query
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Pattern and pattern matching
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Summary
3
3. Mutating Graph with Cypher
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3. Mutating Graph with Cypher
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Creating nodes and relationships
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Transforming nodes and relationships
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Cypher query optimizations
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Summary
4
4. Getting Python and Neo4j to Talk Py2neo
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4. Getting Python and Neo4j to Talk Py2neo
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Installing and configuring py2neo
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Exploring the py2neo APIs
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Creating a social network with py2neo
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Batch imports
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Unit testing
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Summary
5
5. Build RESTful Service with Flask and Py2neo
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5. Build RESTful Service with Flask and Py2neo
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Introducing (and installing) Flask
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Setting up web applications with Flask and Flask-RESTful
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REST APIs for social network data using py2neo
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Summary
6
6. Using Neo4j with Django and Neomodel
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6. Using Neo4j with Django and Neomodel
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Installing and configuring Neomodel
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Declaring models and properties
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Adding relationships to models
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Running Cypher queries
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Using Neomodel in a Django app
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Summary
7
7. Deploying Neo4j in Production
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7. Deploying Neo4j in Production
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Neo4j logical architecture
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Neo4j physical architecture
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Monitoring the health of the Neo4J nodes
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Backup and recovery
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Summary
8
Index
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Index

Cypher query optimizations

In this section, we will talk about the various utilities, features, tips, and tricks available and provided by Neo4j to improve the performance of our Cypher queries.

Before moving forward, let's clean up our database once again and recreate our sample dataset.

Perform the following steps to clean up your Neo4j database:

  1. Open your Linux console or shell and execute "<$NEO4J_HOME>/bin/neo4j-shell".
  2. Execute the following Cypher queries to delete the data from Neo4j database.
    MATCH (n)-[r]-(n1) delete r,n.n1;
MATCH n delete n;

Next, recreate the sample dataset provided in the Pattern and pattern matching section of Chapter 2, Querying the Graph with Cypher.

Further in this section, we will refer to the data created by our sample dataset and will also explain the process of performance tuning/optimization.

Indexes

Neo4j 2.0 introduces an optional schema, based on the concepts of labels. You can define the constraints and indexes on the labels. This in...

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Building web applications with Python and Neo4j
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