https://mcieslik-mctp.github.io/papy/

The papy package provides an implementation of the flow-based programming paradigm in Python
https://mcieslik-mctp.github.io/papy/

Last synced: about 14 hours ago
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The papy package provides an implementation of the flow-based programming paradigm in Python

• Host: GitHub
• URL: https://mcieslik-mctp.github.io/papy/
• Owner: mcieslik-mctp
• License: mit
• Created: 2013-12-05T16:11:33.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2014-11-11T03:16:08.000Z (about 10 years ago)
• Last Synced: 2024-11-01T19:33:59.791Z (15 days ago)
• Language: Python
• Homepage: http://mcieslik-mctp.github.io/papy/
• Size: 771 KB
• Stars: 30
• Watchers: 4
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.rst
  • License: LICENSE

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README

        
**PaPy** - Parallel Pipelines in Python

#######################################

The ``papy`` package provides an implementation of the flow-based programming 

paradigm in Python that enables the construction and deployment of distributed

workflows.

The ``NuMap`` package is a parallel (thread- or process-based, local or 

remote), buffered, multi-task, ``itertools.imap`` or 

``multiprocessing.Pool.imap`` function replacment. Like ``imap`` it 

evaluates a function on elements of a sequence or iterable, and it does so 

lazily. Laziness can be adjusted via  the "stride" and "buffer" arguments. 

Unlike ``imap``, ``NuMap`` supports  **multiple pairs** of function and 

iterable **tasks**. The **tasks** are **not** queued rather they are 

**interwoven** and share a pool or **worker** "processes" or "threads" and 

a memory "buffer".

Documentation can be found `here `_

The package is tested on Python 2.7.6