Learn how to create, analyze, and visualize network graphs in Python using NetworkX and PyVis. This step-by-step tutorial covers everything from basic concepts to building interactive visualizations and working with real-world data. By the end, you will be able to construct your own networks, add attributes, and explore connections in various datasets.
Follow along to understand nodes, edges, and how to use Python libraries for both simple and advanced network analysis. Practice with hands-on examples, including modeling friendships and mapping flight routes, and discover how to make your data interactive and insightful.
00:00 Introduction to Python network graphs
00:18 Setting up your environment
00:42 Importing NetworkX and PyVis
01:04 What is a network graph
01:19 Creating your first simple network
01:45 Adding nodes and edges
02:31 Expanding your network
03:02 Removing nodes and edges
03:30 Visualizing graphs with NetworkX
03:53 Customizing graph appearance
04:18 Interactive graphs with PyVis
04:47 Adding attributes to nodes and edges
05:38 Filtering connections by attributes
06:08 Real-world example with flight data
06:25 Loading and exploring flight dataset
07:05 Building a network from tabular data
07:40 Interactive flight network visualization
08:06 Finding shortest paths in networks
08:33 Personalizing your network graph
09:15 Recap and key takeaways
09:45 Next steps and further learning
#Python #DataScience #NetworkAnalysis
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