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Copyright (c) 2001-2002 Enthought, Inc. 2003-2023, 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:
1.11.3
Required dependencies:
numpy
Optional dependencies:
asv
|
click
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cython-lint
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doit
|
gmpy2
|
jupytext
|
matplotlib
|
mpmath
|
mypy
|
myst-nb
|
numpydoc
|
pooch
|
pycodestyle
|
pydata-sphinx-theme
|
pydevtool
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pytest
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pytest-cov
|
pytest-timeout
|
pytest-xdist
|
rich-click
|
ruff
|
scikit-umfpack
|
sphinx
|
sphinx-design
|
threadpoolctl
|
types-psutil
|
typing_extensions
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