Metadata-Version: 2.1
Name: petsc4py
Version: 3.20.2
Summary: PETSc for Python
Home-page: https://gitlab.com/petsc/petsc
Download-URL: https://pypi.io/packages/source/p/petsc4py/petsc4py-3.20.2.tar.gz
Author: Lisandro Dalcin
Author-email: dalcinl@gmail.com
Maintainer: PETSc Team
Maintainer-email: petsc-maint@mcs.anl.gov
License: BSD-2-Clause
Keywords: scientific computing,parallel computing,MPI,PETSc
Platform: POSIX
Platform: Linux
Platform: macOS
Platform: FreeBSD
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: C
Classifier: Programming Language :: C++
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Development Status :: 5 - Production/Stable
Requires: numpy
Description-Content-Type: text/x-rst
License-File: LICENSE.rst
Requires-Dist: numpy
Provides-Extra: doc
Requires-Dist: pydata-sphinx-theme ; extra == 'doc'
Requires-Dist: sphinx >=7.0.0 ; extra == 'doc'
Requires-Dist: sphobjinv ; extra == 'doc'
Requires-Dist: pylit ; extra == 'doc'
Requires-Dist: typing-extensions ; (python_version < "3.11") and extra == 'doc'

PETSc for Python
================

Python bindings for PETSc.

Install
-------

If you have a working MPI implementation and the ``mpicc`` compiler
wrapper is on your search path, it is highly recommended to install
``mpi4py`` first::

  $ pip install mpi4py

Ensure you have NumPy installed::

  $ pip install numpy

and finally::

  $ pip install petsc petsc4py


Citations
---------

If PETSc for Python been significant to a project that leads to an
academic publication, please acknowledge that fact by citing the
project.

* L. Dalcin, P. Kler, R. Paz, and A. Cosimo,
  *Parallel Distributed Computing using Python*,
  Advances in Water Resources, 34(9):1124-1139, 2011.
  http://dx.doi.org/10.1016/j.advwatres.2011.04.013

* S. Balay, S. Abhyankar, M. Adams, S. Benson, J. Brown,
  P. Brune, K. Buschelman, E. Constantinescu, L. Dalcin, A. Dener,
  V. Eijkhout, J. Faibussowitsch, W. Gropp, V. Hapla, T. Isaac, P. Jolivet,
  D. Karpeyev, D. Kaushik, M. Knepley, F. Kong, S. Kruger,
  D. May, L. Curfman McInnes, R. Mills, L. Mitchell, T. Munson,
  J. Roman, K. Rupp, P. Sanan, J Sarich, B. Smith,
  S. Zampini, H. Zhang, and H. Zhang, J. Zhang,
  *PETSc/TAO Users Manual*, ANL-21/39 - Revision 3.20, 2023.
  http://dx.doi.org/10.2172/1968587,
  https://petsc.org/release/docs/manual/manual.pdf
