Technical requirements

We will be using the Jupyter Notebook to run our coding exercises, which requires python>=3.8.0. In addition, the following packages will need to be installed, with the pip install command, in your environment:

• igraph==0.9.8
• spacy==3.4.4
• scispacy==0.5.1
• matplotlib

Alternatively, you could run pip install –r requirements.txt, in the supporting requirements file, to install all the supporting dependencies for this chapter.

For this chapter, you will also need to install a text corpus for some Natural Language Processing (NLP). Go to https://allenai.github.io/scispacy/ and download the en_core_sci_sm model. In a command prompt or terminal window, navigate to where this is downloaded and run pip install en_core_sci_sm-0.5.1.tar.gz.

All notebooks, with the coding exercises, are available at the following GitHub link: https://github.com/PacktPublishing/Graph-Data-Modeling-in-Python/tree/main/CH04.