➗ Mathematics


  • Description: A comprehensive library for creating static, animated, and interactive visualizations in Python.

  • Use Case: Visualizing mathematical functions, data, and simulations for analysis and presentation.

  • GitHub Repository: Matplotlib GitHub


  • Description: A Python library for arbitrary-precision arithmetic.

  • Use Case: Performing complex mathematical calculations with high precision, suitable for research in algebra, calculus, and number theory.

  • Documentation: mpmath Documentation

  • GitHub Repository: mpmath GitHub


  • Description: A Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

  • Use Case: Analyzing and visualizing mathematical graphs and networks, useful in graph theory and complex systems.

  • Documentation: NetworkX Documentation

  • GitHub Repository: NetworkX GitHub


  • Description: Fundamental package for scientific computing with Python.

  • Use Case: Handling numerical operations, linear algebra, Fourier transform, and matrices, essential for various mathematical computations.

  • Documentation: Numpy Documentation

  • GitHub Repository: Numpy GitHub


  • Description: Data analysis and manipulation library.

  • Use Case: Managing and analyzing datasets, useful in statistics and applied mathematics for organizing and interpreting data.

  • Documentation: Pandas Documentation

  • GitHub Repository: Pandas GitHub


  • Description: An open-source mathematics software system.

  • Use Case: Covering many aspects of mathematics, including algebra, combinatorics, numerical mathematics, and calculus.

  • Documentation: SageMath Documentation

  • GitHub Repository: Not directly applicable; SageMath uses a Mercurial repository but contributes to many Python libraries.


  • Description: Machine learning in Python.

  • Use Case: Applying machine learning algorithms to mathematical datasets for predictive modeling and data analysis.

  • GitHub Repository: Scikit-learn GitHub


  • Description: An open-source Python library used for scientific and technical computing.

  • Use Case: Performing scientific computations including optimization, integration, interpolation, eigenvalue problems, algebraic equations, and other mathematical techniques.

  • Documentation: SciPy Documentation

  • GitHub Repository: SciPy GitHub


  • Description: A Python library for symbolic mathematics.

  • Use Case: Conducting symbolic calculation, algebraic solutions, differentiation, integration, and solving equations, ideal for theoretical mathematics.

  • Documentation: SymPy Documentation

  • GitHub Repository: SymPy GitHub


  • Description: An end-to-end open-source platform for machine learning.

  • Use Case: Developing mathematical models for deep learning and neural networks, applying mathematics in artificial intelligence research.

  • GitHub Repository: TensorFlow GitHub

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