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Importing and fitting tool for scientific text data.

Project Description

DataPipeline is a python desktop and command line application that uses the fitting and plotting libraries from PEAT to automate the import of raw data in a variety of formats. It is also used for transforming the imported data through various stages of fitting to achieve a final measured parameter. This is useful for handling large amounts of data (e.g from csv files) in a consistent way without having to store everything in spreadsheets.

See http://code.google.com/p/peat/wiki/DataPipeline

Release History

Release History

This version
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1.2

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1.1

History Node

1.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
DataPipeline-1.2.tar.gz (719.6 kB) Copy SHA256 Checksum SHA256 Source Oct 23, 2012

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