Eastridge, Timothy
Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
- ISBN 13:
- 9788197081965
- author:
- Eastridge, Timothy
- format:
- Paperback
- publisher:
- Orange Education Pvt Ltd
- language:
- English
- Publication Year:
- 2024
- Pages:
- 192
- Dimensions:
- 23.5 x 19.1 x 1 centimetres (0.3
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Graph Data Science with Python and Neo4j is your guide to unlocking the potential of graph data science by combining Python's robust capabilities with Neo4j's innovative graph database technology.
This book focuses on practical application, providing you with hands-on skills needed to tackle real-world challenges. You'll learn how to set up and utilize Python and Neo4j environments effectively for graph analysis, import and manipulate data within the Neo4j graph database using Cypher Query Language, and visualize complex graph networks to gain insights into data relationships and patterns.
With detailed explanations, real-world examples, and a dedicated GitHub repository filled with code examples, this book is an indispensable resource for anyone seeking to enhance their data practices with graph technology.
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