External Links

NumPy

• Official Website: https://numpy.org
• Documentation: https://numpy.org/doc/stable
• GitHub Repository: https://github.com/numpy/numpy

NumPy is a fundamental package for scientific computing in Python. It provides:

• A powerful N-dimensional array object
• Sophisticated broadcasting functions
• Tools for integrating C/C++ code
• Useful linear algebra, Fourier transform, and random number capabilities

SciPy

• Official Website: https://scipy.org
• Documentation: https://docs.scipy.org/doc/scipy
• GitHub Repository: https://github.com/scipy/scipy

SciPy is a scientific computing library that builds on NumPy. It provides:

• Optimization algorithms
• Linear algebra operations
• Signal and image processing tools
• Statistical functions

NetworkX

• Official Website: https://networkx.org
• Documentation: https://networkx.org/documentation/stable
• GitHub Repository: https://github.com/networkx/networkx

NetworkX is a Python package for complex networks. It provides:

• Graph creation and manipulation
• Network structure and analysis algorithms
• Network visualization tools
• Large collection of graph algorithms

Scikit-learn

• Official Website: https://scikit-learn.org
• Documentation: https://scikit-learn.org/stable
• GitHub Repository: https://github.com/scikit-learn/scikit-learn

Scikit-learn is a machine learning library for Python. It provides:

• Classification, regression, and clustering algorithms
• Model selection and evaluation tools
• Preprocessing and feature engineering utilities
• Comprehensive documentation and examples

PyTorch

• Official Website: https://pytorch.org
• Documentation: https://pytorch.org/docs/stable/index.html
• GitHub Repository: https://github.com/pytorch/pytorch

PyTorch is an open source machine learning framework. It provides:

• Dynamic computational graphs
• GPU acceleration
• Deep neural network building blocks
• Rich ecosystem of tools and libraries

PyTorch Geometric

• Official Website: https://pytorch-geometric.readthedocs.io
• Documentation: https://pytorch-geometric.readthedocs.io/en/latest
• GitHub Repository: https://github.com/pyg-team/pytorch_geometric

PyTorch Geometric (PyG) is a library for deep learning on irregular input data. It provides:

• Graph Neural Network implementations
• Various graph datasets
• Common graph operations
• Efficient sparse matrix operations