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License:
Copyright (c) 2001-2002 Enthought, Inc. 2003, SciPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
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Summary:
Fundamental algorithms for scientific computing in Python
Latest version:
1.18.1
Required dependencies:
numpy
Optional dependencies:
array-api-strict
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asv
|
click
|
cython
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cython-lint
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gmpy2
|
hypothesis
|
intersphinx-registry
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jupyterlite-pyodide-kernel
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jupyterlite-sphinx
|
jupytext
|
linkify-it-py
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matplotlib
|
meson
|
mpmath
|
mypy
|
myst-nb
|
ninja
|
numpydoc
|
pooch
|
pycodestyle
|
pydata-sphinx-theme
|
pyrefly
|
pytest
|
pytest-cov
|
pytest-timeout
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pytest-xdist
|
ruff
|
scikit-umfpack
|
scipy-doctest
|
sphinx
|
sphinx-copybutton
|
sphinx-design
|
spin
|
tabulate
|
threadpoolctl
|
types-psutil
|
typing-extensions
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