0
I Use This!
Activity Not Available

Project Summary

Python Pipelines lets you solve a complex problem by breaking it up into a series of smaller, less complex programs. These simple programs, also called stages, can then be hooked together to get the results you want. The output resulting from a stage is the input to the next stage. A series of stages is called a pipeline. Each stage consists of a stage and its operands. Pipelines has many built-in stages; you may add your own written in Python or pseudo-Rexx.

Stages may have more than one input and/or output stream; these streams may be connected to other stages in no particular order.

Pipelines is a superset of pipes as found in unix/linux shells. See http://en.wikipedia.org/wiki/Hartmann_pipeline for a more detailed description.

Python Pipelines may be invoked from a command prompt or incorporated into another Python program as an imported module.

This project is under construction. Contributions are welcome. Especially Python developers, formal language parsing algorithms, tester (especially those familiar with CMS Pipelines) and potential users.

Also see http://en.wikipedia.org/wiki/Python_Pipelines.

Please contact the project manager Bob Gailer: bgailer at gmail dot com or by phone at 1-919-636-4239.

Python Pipelines is based on and is a subset of IBM's CMS/TSO Pipelines. See the IBM Reference Link at the upper right.

In CMS Pipelines users may write their own stages using the Rexx programming language. Due to the nature of the 'dispatcher' (each stage is a co-routine) these program are more complex than they could be.

Python Pipeline supports coding the IBM way (in 'pseudo-Rexx'), which makes it somewhat easy to incorporate legacy code or write new stages using a known technology.

Ideally, however, Python Pipeline users learn to write their own stages in Python, using a much simpler approach (each stage has a run() method that is invoked as many times as needed). 7 or more lines of Rexx replaced by 2 lines of Python!

Tags

cms hartmann pc pipelines pipes python

In a Nutshell, python-pipelines...

 No code available to analyze

Open Hub computes statistics on FOSS projects by examining source code and commit history in source code management systems. This project has no code locations, and so Open Hub cannot perform this analysis

Is this project's source code hosted in a publicly available repository? Do you know the URL? If you do, click the button below and tell us so that Open Hub can generate statistics! It's fast and easy - try it and see!

Add a code location

GNU General Public License v2.0 or later
Permitted

Commercial Use

Modify

Distribute

Place Warranty

Forbidden

Sub-License

Hold Liable

Required

Distribute Original

Disclose Source

Include Copyright

State Changes

Include License

These details are provided for information only. No information here is legal advice and should not be used as such.

All Licenses

This Project has No vulnerabilities Reported Against it

Did You Know...

  • ...
    Black Duck offers a free trial so you can discover if there are open source vulnerabilities in your code
  • ...
    you can embed statistics from Open Hub on your site
  • ...
    55% of companies leverage OSS for production infrastructure
  • ...
    you can subscribe to e-mail newsletters to receive update from the Open Hub blog

 No code available to analyze

Open Hub computes statistics on FOSS projects by examining source code and commit history in source code management systems. This project has no code locations, and so Open Hub cannot perform this analysis

Is this project's source code hosted in a publicly available repository? Do you know the URL? If you do, click the button below and tell us so that Open Hub can generate statistics! It's fast and easy - try it and see!

Add a code location

Community Rating

Be the first to rate this project
Click to add your rating
   Spinner
Review this Project!
Sample ohloh analysis