This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.
