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You can find the source code in our GitHub repository if you don’t want to work on it as you go through the tutorial. If at any point in this tutorial you have a question or something is not working for you, feel free to post on StackOverflow with the tag memgraphdb. So let's get started!
The BitClout network data is stored in three separate CSV files which you will use to populate Memgraph. Create a database.py module and define a single function, load_data(cursor). This function uses the object cursor for submitting queries to the database. Let's start implementing it step by step:
Here you parse the JSON response data and separate it into two lists, nodes and links. The forceSimulation() method is responsible for arranging our network and the positions of individual nodes. You can learn more about it here.