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You're reading from  Graph Data Science with Neo4j

Product typeBook
Published inJan 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781804612743
Edition1st Edition
Languages
Python
Tools
Neo4j
Concepts
Mobile Application Development
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Author (1)
Estelle Scifo
Estelle Scifo
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Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
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To get the most out of this book

You will need access to a Neo4j instance. Options and installation instructions are given in Chapter 1, Introducing and Installing Neo4j. We will also intensively use Python and the following packages: pandas, scikit-learn, network, and graphdatascience. The code was tested with Python 3.10 but should work with newer versions, assuming no breaking change is made in its dependencies. Python code is provided as a Jupyter notebook, so you’ll need Jupyter Server installed and running to go through it.

For the very last chapter, a Java JDK will also be required. The code was tested with OpenJDK 11.

Software/hardware covered in the book

Operating system requirements

Neo4j 5.x

Windows, macOS, or Linux

Python 3.10

Windows, macOS or Linux

Jupyter

Windows, macOS or Linux

OpenJDK 11

Windows, macOS or Linux

You will also need to install Neo4j plugins: APOC and GDS. Installation instructions for Neo4j Desktop are given in the relevant chapters. However, if you are not using a local Neo4j instance, please refer to the following pages for installation instructions, especially regarding version compatibilities:

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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Graph Data Science with Neo4j
Published in: Jan 2023Publisher: PacktISBN-13: 9781804612743
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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