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SciPy
Solve complex numerical problems, analyze data, and leverage Python for research and development with a user-friendly interface.
SciPy provides fundamental algorithms for scientific computing in Python that cover optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, and statistics. These broadly applicable algorithms and data structures are designed to be interoperable and performant across many different domains of research and engineering work. The package serves as a foundational library extending the capabilities of the broader Python scientific ecosystem for users who need robust mathematical tools.
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