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mathematicskit


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Author: Charles Poli
License: MIT
Summary: Unified computational mathematics toolkit: numerical analysis, linear algebra, calculus, dynamical systems, partial differential equations, optimization, probability, statistics, number theory, combinatorics, complex analysis, graph theory, information theory, abstract algebra, geometry, topology, special functions, and fractals/chaos -- built on numpy/scipy, hand-rolling algorithms only where no library equivalent exists.
Latest version: 0.6.0
Required dependencies: matplotlib | numpy | scipy
Optional dependencies: hypothesis | jupyterlite-pyodide-kernel | jupyterlite-sphinx | mathematicskit | mypy | myst-parser | numba | pillow | pre-commit | pydata-sphinx-theme | pytest | pytest-cov | ruff | sphinx | sphinx-autodoc-typehints | sphinx-design | sphinx-gallery

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