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License: Copyright (c) 2001-2002 Enthought, Inc. 2003-2024, SciPy Developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that ...
Summary: Fundamental algorithms for scientific computing in Python
Latest version: 1.15.2
Required dependencies: ninja | numpy
Optional dependencies: array-api-strict | asv | cython | cython-lint | doit | gmpy2 | hypothesis | intersphinx_registry | jupyterlite-pyodide-kernel | jupyterlite-sphinx | jupytext | matplotlib | meson | mpmath | mypy | myst-nb | numpydoc | pooch | pycodestyle | pydata-sphinx-theme | pydevtool | pytest | pytest-cov | pytest-timeout | pytest-xdist | rich-click | ruff | scikit-umfpack | sphinx | sphinx-copybutton | sphinx-design | threadpoolctl | types-psutil | typing_extensions

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