Building web applications with Python and Neo4j : develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django
著者
書誌事項
Building web applications with Python and Neo4j : develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django
（Packt open source, . Community experience distilled）
Packt Publishing, 2015
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注記
Includes index
内容説明・目次
内容説明
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 ForIf 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 DetailPy2neo 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.
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.
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