Pypeline Documentation
Pypeline Documentation
Release 0.2 Kyle Corbitt
May 09, 2014
Contents
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1.1 Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.2 Quick Start . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.3 API Reference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2 Links
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Pypeline Documentation, Release 0.2
Pypeline DB is designed to simplify the creation and management of datasets. It has a friendly and easy-to-master API backed by the power of LevelDB. This allows it to manage datasets too large to fit in RAM without sacrificing data access performance. Pypeline is great for:
? Exploring data without eating all your RAM ? Transforming data with maps, filters and reductions ? Stopping you from losing or overwriting your data (unless you explicitly ask it to) It's also easy to export a dataset from Pypeline to Pandas for further analysis.
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