Graph Data Science with Neo4J

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1

Hello everyone,

I wanted to bring to your attention a new book from Packt titled "Graph Data Science with Neo4j". This book covers a variety of topics related to graph data science, from the basics of graph databases and their benefits, to how to leverage graph algorithms to extract insights from data.

One of the things I found most interesting about this book is the in-depth coverage of the Neo4j graph database. Neo4j is a popular and widely used graph database that is well suited for a variety of use cases, from fraud detection to recommendation engines.

The book covers a wide range of topics related to graph data science, including graph theory, graph algorithms, and network analysis. It also includes practical examples and case studies to help you understand how to apply graph data science techniques in real-world scenarios.

Whether you're new to graph data science or a seasoned practitioner, I think you'll find this book to be a valuable resource. So if you're interested in learning more about graph data science and Neo4j, I encourage you to check it out. You can find more information and purchase the book at the following link:

Thank you for your attention, and happy reading!

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Thanks Anna for sharing this with the community. It's a great resource! I definitely encourage folks to pick it up and bring your thoughts and questions here.

  • Alison
    Data Science Developer Advocate
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I discovered it is also accessible through O'Reilly. My organization has a subscription and I was able to access the new book via that method as well.

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