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

Editor

Packt Publishing

Fecha de publicaci�n

2015

Idioma

Ingl�s

ISBN 10

1783983981

ISBN 13

9781783983988

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

Cat�logos de vendedores

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Sinopsis

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

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.

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.

Acerca del autor

Sumit Gupta is a seasoned professional, innovator, and technology evangelist, with over 100 months of experience in architecting, managing, and delivering enterprise solutions that revolve around a variety of business domains, such as hospitality, healthcare, risk management, insurance, and so on. He is passionate about technology, with over 14 years of hands-on experience in the software industry. Sumit has been using big data and cloud technologies for the past 4 to 5 years to solve complex business problems. He is also the author of Neo4j Essentials (http://neo4j.com/books/neo4jessentials/).

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