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NetworkX is not primarily used for numerical computations in Python — instead, it is a graph theory and network analysis library designed for creating, manipulating, and studying the structure and dynamics of complex networks. While it can work with numerical data (e.g., edge weights, centrality measures), its main focus is on graph algorithms and network modeling, not general-purpose numerical computation like NumPy or SciPy.
Key Capabilities
Graph Types: Supports Graph (undirected), DiGraph (directed), MultiGraph, and MultiDiGraph.
Graph Algorithms: Shortest paths, connectivity, clustering, centrality, etc..
Data Flexibility: Nodes and edges can store arbitrary Python objects, including numerical data.
Visualization: Basic plotting of networks using Matplotlib integration.
Example: Creating and Analyzing a Graph
NetworkX — NetworkX documentation
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
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GitHub - networkx/networkx: Network Analysis in Python
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