In this tutorial, we're going to use the PyGraphistry python library to create and visualize our first graph, then move on to more advanced techniques like creating a graph from any CSV, modifying visualization properties, and analyzing data from within the Graphistry visual environment.
Section 1. Installing PyGraphistry
There are 2 easy ways to get up and running quickly
An API key gives each visualization access to the GPU cluster. Please ask your adminstrator or email firstname.lastname@example.org for a key. Set your key after the import graphistry statement and you are good to go:
#graphistry.register(key='Your key', protocol='http', server='your.server.com:80')
Optionally, for convenience, you may set your API key in your system environment and thereby skip the register step in all your notebooks. In your .profile or .bash_profile, add the following, reload your environment, and restart your notebook server:
export GRAPHISTRY_API_KEY="Your key"
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