loongson/pypi/: scipy-1.9.0 metadata and description

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SciPy: Scientific Library for Python

classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Science/Research
  • Intended Audience :: Developers
  • License :: OSI Approved :: BSD License
  • Programming Language :: C
  • Programming Language :: Python
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • Topic :: Software Development :: Libraries
  • Topic :: Scientific/Engineering
  • Operating System :: Microsoft :: Windows
  • Operating System :: POSIX :: Linux
  • Operating System :: POSIX
  • Operating System :: Unix
  • Operating System :: MacOS
download_url https://github.com/scipy/scipy/releases
license BSD
maintainer SciPy Developers
maintainer_email scipy-dev@python.org
platform
  • Windows
  • Linux
  • Solaris
  • Mac OS-X
  • Unix
project_urls
  • Bug Tracker, https://github.com/scipy/scipy/issues
  • Documentation, https://docs.scipy.org/doc/scipy/reference/
  • Source Code, https://github.com/scipy/scipy
requires_dist
  • numpy (<1.25.0,>=1.18.5)
requires_python >=3.8,<3.12

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File Tox results History
scipy-1.9.0-cp38-cp38-linux_loongarch64.whl
Size
89 MB
Type
Python Wheel
Python
3.8
scipy-1.9.0.tar.gz
Size
10 MB
Type
Source

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. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!