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Lazily-evaluated, parallelizable pipeline.

Project description

Streams are iterables with a pipelining mechanism to enable data-flow programming and easy parallelization.

See the reference documentation at <http://www.trinhhaianh.com/stream.py>.

Articles written by the author about the module can be viewed at <http://blog.onideas.ws/tag/project:stream.py>.

The code repository is located at <http://github.com/aht/stream.py>.

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0.8

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0.7

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0.6.1

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0.6

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0.5.2

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0.5.1

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0.5

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stream-0.8.tar.gz (13.5 kB) Copy SHA256 hash SHA256 Source None Jan 15, 2010

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