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    Building Web Applications with Python and Neo4j

    Posted By: AlenMiler
    Building Web Applications with Python and Neo4j

    Building Web Applications with Python and Neo4j by Sumit Gupta
    English | Aug. 3, 2015 | ISBN: 1783983981 | 168 Pages | EPUB/MOBI/PDF (True) | 10.6 MB

    Py2neo is a simple and pragmatic Python library that provides access to the popular graph database Neo4j via its RESTful web service interface. This brings with it a heavily refactored core, a cleaner API, better performance, and some new idioms.

    Develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django

    About This Book
    Develop a set of common applications and solutions with Neo4j and Python
    Secure and deploy the Neo4j database in production
    A step-by-step guide on implementing and deploying interactive Python-based web applications on graph data model

    Who This Book Is For
    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.

    What You Will Learn
    Understand the licensing and installation of the Neo4j database and work with its various tools and utilities
    Learn the intricacies of Cypher as a graph query language
    Work with Cypher to create and modify graph data models
    Integrate Python and Neo4j using Py2neo
    Develop REST-based services over social network data using Flask and object graph models over Neo4j
    Integrate Django-based web applications over graph data models using Neomodel
    Explore different deployment models and their applicability with existing applications

    In Detail

    You will begin with licensing and installing Neo4j, learning the fundamentals of Cypher as a graph query language, and exploring Cypher optimizations. You will discover how to integrate with various Python frameworks such as Flask and its extensions: Py2neo, Neomodel, and Django. Finally, the deployment aspects of your Python-based Neo4j applications in a production environment is also covered. By sequentially working through the steps in each chapter, you will quickly learn and master the various implementation details and integrations of Python and Neo4j, helping you to develop your use cases more quickly.