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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>.

Project details


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Files for stream, version 0.8
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