Graph Data Science with Python and Neo4j
eBook - ePub

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

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

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

About this book

Practical approaches to leveraging graph data science to solve real-world challenges.
Book DescriptionGraph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph data science by blending Python's robust capabilities with Neo4j's innovative graph database technology. From fundamental concepts to advanced analytics and machine learning techniques, you'll learn how to leverage interconnected data to drive actionable insights. Beyond theory, this book focuses on practical application, providing you with the hands-on skills to tackle real-world challenges. You'll explore cutting-edge integrations with Large Language Models (LLMs) like ChatGPT to build advanced recommendation systems. With intuitive frameworks and interconnected data strategies, you'll elevate your analytical prowess. This book offers a straightforward approach to mastering graph data science. 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. Join us on this transformative journey across various industries, and unlock new, actionable insights from your data.
?Table of Contents1. Introduction to Graph Data Science2. Getting Started with Python and Neo4j3. Import Data into the Neo4j Graph Database4. Cypher Query Language5. Visualizing Graph Networks6. Enriching Neo4j Data with ChatGPT7. Neo4j Vector Index and Retrieval-Augmented Generation (RAG)8. Graph Algorithms in Neo4j9. Recommendation Engines Using Embeddings10. Fraud Detection CLOSING SUMMARY The Future of Graph Data Science Index

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Yes, you can access Graph Data Science with Python and Neo4j by Timothy Eastridge in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming in Python. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Author
  6. About the Technical Reviewer
  7. Acknowledgements
  8. Preface
  9. A Note from the Author
  10. Get a Free eBook
  11. Errata
  12. Table of Contents
  13. 1. Introduction to Graph Data Science
  14. 2. Getting Started with Python and Neo4j
  15. 3. Import Data into the Neo4j Graph Database
  16. 4. Cypher Query Language
  17. 5. Visualizing Graph Networks
  18. 6. Enriching Neo4j Data with ChatGPT
  19. 7. Neo4j Vector Index and Retrieval-Augmented Generation (RAG)
  20. 8. Graph Algorithms in Neo4j
  21. 9. Recommendation Engines Using Embeddings
  22. 10. Fraud Detection
  23. Closing Summary: The Future of Graph Data Science
  24. Index