Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
51 lines
2.0 KiB
51 lines
2.0 KiB
Metadata-Version: 2.1
|
|
Name: scipy
|
|
Version: 1.5.4
|
|
Summary: SciPy: Scientific Library for Python
|
|
Home-page: https://www.scipy.org
|
|
Maintainer: SciPy Developers
|
|
Maintainer-email: scipy-dev@python.org
|
|
License: BSD
|
|
Download-URL: https://github.com/scipy/scipy/releases
|
|
Project-URL: Bug Tracker, https://github.com/scipy/scipy/issues
|
|
Project-URL: Documentation, https://docs.scipy.org/doc/scipy/reference/
|
|
Project-URL: Source Code, https://github.com/scipy/scipy
|
|
Platform: Windows
|
|
Platform: Linux
|
|
Platform: Solaris
|
|
Platform: Mac OS-X
|
|
Platform: Unix
|
|
Classifier: Development Status :: 5 - Production/Stable
|
|
Classifier: Intended Audience :: Science/Research
|
|
Classifier: Intended Audience :: Developers
|
|
Classifier: License :: OSI Approved :: BSD License
|
|
Classifier: Programming Language :: C
|
|
Classifier: Programming Language :: Python
|
|
Classifier: Programming Language :: Python :: 3
|
|
Classifier: Programming Language :: Python :: 3.6
|
|
Classifier: Programming Language :: Python :: 3.7
|
|
Classifier: Programming Language :: Python :: 3.8
|
|
Classifier: Topic :: Software Development
|
|
Classifier: Topic :: Scientific/Engineering
|
|
Classifier: Operating System :: Microsoft :: Windows
|
|
Classifier: Operating System :: POSIX
|
|
Classifier: Operating System :: Unix
|
|
Classifier: Operating System :: MacOS
|
|
Requires-Python: >=3.6
|
|
Requires-Dist: numpy (>=1.14.5)
|
|
|
|
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!
|
|
|
|
|
|
|
|
|