scipy: Scientific tools for Python#

Description#

SciPy (pronounced “Sigh Pie”) is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world’s leading scientists and engineers.

License#

SciPy’s license is free for both commercial and non-commercial use, under the BSD terms. See http://www.scipy.org/License_Compatibility

Upstream Contact#

Dependencies#

  • Python, which in Sage has numerous dependencies

  • Numpy

  • Fortran

  • GNU patch

Special Update/Build Instructions#

  • None.

Type#

standard

Dependencies#

Version Information#

package-version.txt:

1.11.4

install-requires.txt:

# 1.8 is known good version.
# Per https://docs.scipy.org/doc/scipy/dev/core-dev/index.html#version-numbering
# and https://docs.scipy.org/doc/scipy/dev/core-dev/index.html#deprecations,
# deprecations cannot be introduced in micro releases.
# SciPy devs wait "at least 6 months", "in practice two (minor) releases"
# from deprecation to removal of a feature.
scipy >=1.5

Equivalent System Packages#

$ sudo pacman -S python-scipy

$ conda install scipy\<1.12\,\>=1.5

$ sudo apt-get install python3-scipy

$ sudo yum install python-scipy

$ sudo emerge dev-python/scipy

$ brew install scipy

$ sudo port install py-scipy

$ sudo zypper install python3\$\{PYTHON_MINOR\}-scipy

$ sudo xbps-install python3-scipy

See https://repology.org/project/python:scipy/versions

If the system package is installed and if the (experimental) option --enable-system-site-packages is passed to ./configure, then ./configure will check if the system package can be used.