Metadata-Version: 2.1
Name: ppft
Version: 1.6.6.3
Summary: distributed and parallel python
Home-page: https://pypi.org/project/ppft
Author: Mike McKerns
Maintainer: Mike McKerns
License: BSD-like
Download-URL: https://github.com/uqfoundation/ppft/releases/download/ppft-1.6.6.3/ppft-1.6.6.3.tar.gz
Description: -------------------------------------
        ppft: distributed and parallel python
        -------------------------------------
        
        About Ppft
        ==========
        
        ``ppft`` is a fork of Parallel Python, and is developed as part of ``pathos``: https://github.com/uqfoundation/pathos
        
        Parallel Python module (``pp``) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. ``pp`` module features cross-platform portability and dynamic load balancing. Thus application written with ``pp`` will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other application with variable CPU loads). Visit http://www.parallelpython.com for further information.
        
        ``ppft`` is part of ``pathos``, a python framework for heterogeneous computing.
        ``ppft`` is in active development, so any user feedback, bug reports, comments,
        or suggestions are highly appreciated.  A list of issues is located at https://github.com/uqfoundation/ppft/issues, with a legacy list maintained at https://uqfoundation.github.io/pathos-issues.html.
        
        NOTE: ``ppft`` installs as ``pp``. If ``pp`` is installed, it should be uninstalled before ``ppft`` is installed -- otherwise, ``import pp`` will likely not find the ``ppft`` fork.
        
        
        Major Changes:
        ==============
        
            - ``pip`` and ``setuptools`` support
            - support for python 3
            - enhanced serialization, using ``dill.source``
        
        
        Current Release
        ===============
        
        This documentation is for version ``ppft-1.6.6.3`` (a fork of ``pp-1.6.6``).
        
        The latest released version of ``ppft`` is available from::
        
            https://pypi.org/project/ppft
        
        ``pp`` and ``ppft`` are distributed under a BSD-like license.
        
        
        Development Version
        ===================
        
        You can get the latest development version with all the shiny new features at::
        
            https://github.com/uqfoundation
        
        If you have a new contribution, please submit a pull request.
        
        
        Installation
        ============
        
        ``ppft`` is packaged to install from source, so you must
        download the tarball, unzip, and run the installer::
        
            [download]
            $ tar -xvzf ppft-1.6.6.3.tgz
            $ cd ppft-1.6.6.3
            $ python setup.py build
            $ python setup.py install
        
        You will be warned of any missing dependencies and/or settings
        after you run the "build" step above.
        
        Alternately, ``ppft`` can be installed with ``pip`` or ``easy_install``::
        
            $ pip install ppft
        
        NOTE: ``ppft`` installs as ``pp``. If ``pp`` is installed, it should be uninstalled before ``ppft`` is installed -- otherwise, ``import pp`` will likely not find the ``ppft`` fork.
        
        
        Requirements
        ============
        
        ``ppft`` requires::
        
            - ``python``, **version == 2.7** or **version >= 3.5**, or ``pypy``
            - ``six``, **version >= 1.7.3**
        
        Optional requirements::
        
            - ``setuptools``, **version >= 0.6**
            - ``dill``, **version >= 0.3.3**
        
        
        More Information
        ================
        
        Probably the best way to get started is to look at the set of example scripts
        in ``ppft.examples``. You can run the test suite with ``python -m ppft.tests``.
        ``ppft`` will create and execute jobs on local workers (automatically created
        using ``python -u -m ppft``). Additionally, remote servers can be created with 
        ``ppserver`` (or ``python -m ppft.server``), and then jobs can be distributed
        to remote workers. See ``--help`` for more details on how to configure a server.
        Please feel free to submit a ticket on github, or ask a question on
        stackoverflow (**@Mike McKerns**).  If you would like to share how you use
        ``ppft`` in your work, please send an email (to **mmckerns at uqfoundation dot org**).
        
        
        Citation
        ========
        
        If you use ``ppft`` to do research that leads to publication, we ask that you
        acknowledge use of ``ppft`` by citing the following in your publication::
        
            M.M. McKerns, L. Strand, T. Sullivan, A. Fang, M.A.G. Aivazis,
            "Building a framework for predictive science", Proceedings of
            the 10th Python in Science Conference, 2011;
            http://arxiv.org/pdf/1202.1056
        
            Michael McKerns and Michael Aivazis,
            "pathos: a framework for heterogeneous computing", 2010- ;
            https://uqfoundation.github.io/pathos.html
        
        Please see https://uqfoundation.github.io/pathos.html or
        http://arxiv.org/pdf/1202.1056 for further information.
        
        
Platform: Windows
Platform: Linux
Platform: Mac
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Provides-Extra: dill
