Building Web Applications with Python and Neo4j by Sumit Gupta

By Sumit Gupta

Increase interesting real-world Python-based net purposes with Neo4j utilizing frameworks akin to Flask, Py2neo, and Django
About This Book

increase a suite of universal purposes and suggestions with Neo4j and Python
safe and installation the Neo4j database in production
A step by step consultant on imposing and deploying interactive Python-based net purposes on graph facts model

Who This publication Is For

If you're a Python developer and wish to extend your realizing of Python-based internet functions over Neo4j graph info types, this can be the ebook for you.
What you'll Learn

comprehend the licensing and install of the Neo4j database and paintings with its quite a few instruments and utilities
examine the intricacies of Cypher as a graph question language
paintings with Cypher to create and alter graph information models
combine Python and Neo4j utilizing Py2neo
strengthen REST-based providers over social community facts utilizing Flask and item graph types over Neo4j
combine Django-based internet functions over graph info types utilizing Neomodel
discover diverse deployment versions and their applicability with latest applications

In Detail

Py2neo is an easy and pragmatic Python library that offers entry to the preferred graph database Neo4j through its RESTful internet carrier interface. This brings with it a seriously refactored center, a cleanser API, higher functionality, and a few new idioms.

You will start with licensing and fitting Neo4j, studying the basics of Cypher as a graph question language, and exploring Cypher optimizations. you will find easy methods to combine with a number of Python frameworks reminiscent of Flask and its extensions: Py2neo, Neomodel, and Django. eventually, the deployment features of your Python-based Neo4j functions in a creation surroundings can also be coated. via sequentially operating throughout the steps in every one bankruptcy, you are going to fast research and grasp a few of the implementation information and integrations of Python and Neo4j, assisting you to advance your use circumstances extra quickly.

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Extra resources for Building Web Applications with Python and Neo4j

Sample text

One or more labels can be defined on nodes. Consider the following example: MATCH (n:MALE) return n;or MATCH (n:MALE:TEACHER) return n; In the preceding example, we are searching for all those nodes that are annotated with the label MALE, or with multiple labels, MALE and TEACHER. Pattern for relationships Relationships are the connection between two given nodes. They can be unidirectional or bidirectional between the two nodes. They are defined within square brackets and are given a user-defined name for further reference within the search queries.

Let's work more with nodes and relationships and see some real-world examples in the next section. Working with nodes and relationships In this section, we will discuss complex and real world scenarios/problem statements and solve those problem statements with the help of Cypher using pattern and pattern matching. Let's enhance our sample dataset that we created in the previous section and add some more data. We will add some movies and also have our users provide ratings for them. Perform the following steps for adding movies and ratings: 1.

Let's enhance our sample dataset that we created in the previous section and add some more data. We will add some movies and also have our users provide ratings for them. Perform the following steps for adding movies and ratings: 1. Open your console or Shell and start your Neo4j server by executing <$NEO4J_HOME>/bin/neo4j on console (in case it is not started). 2. On same console execute <$NEO4J_HOME>/bin/neo4j-shell. [ 39 ] Querying the Graph with Cypher 3. Now execute the following set of statements to create some movies: CREATE (firstBlood:MOVIE {name:"First Blood"}); CREATE (avengers:MOVIE {name:"Avengers"}); CREATE (matrix:MOVIE {name:"Matrix"}); 4.

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