How to Visualize a Social Network in Python with a Graph Database: Flask + Docker + D3.js

The text is a detailed tutorial on building a basic web application using Flask, Docker, and a graph database called Memgraph DB, intended to visualize a social network. It explains the advantages of using a graph database over a relational database, especially in scenarios with complex relationships like social networks. The guide walks through setting up the development environment using tools like Poetry for dependency management, Docker for containerization, and Flask for web development, demonstrating how to create a Dockerized application that stores data in Memgraph DB. It includes instructions for structuring the project, managing dependencies, and implementing database operations to populate and fetch data from the graph database. The tutorial also covers how to create a simple web interface to visualize the social network using D3.js, and highlights the benefits of graph databases in handling real-time data scenarios, encouraging developers to consider integrating them into their projects for enhanced data modeling and analysis capabilities.