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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:
1.15.3
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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