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    "info": {
        "author": "Bryce Kalmbach",
        "author_email": "brycek@uw.edu",
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            "Programming Language :: Python"
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        "description": "# ESP (Estimating Spectra from Photometry)\n[![Build Status](https://travis-ci.org/jbkalmbach/ESP.svg?branch=master)](https://travis-ci.org/jbkalmbach/ESP)[![codecov.io](https://codecov.io/github/jbkalmbach/ESP/coverage.svg?branch=master)](https://codecov.io/github/jbkalmbach/ESP?branch=master)[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](http://www.gnu.org/licenses/gpl-3.0)\n\n## Purpose\nESP is a way to estimate galaxy spectra using Principal Component\nAnalysis (PCA) and Gaussian Processes. Starting from a set of known spectra and\na set of bandpasses you can predict spectra for other points\nin the color space of your bands both interpolating and extrapolating\nthroughout the color space.\n\n## Setup\n\nESP is pip installable. From the command line run:\n\n    pip install esphot\n\nNow to use from python, just:\n\n    import esp\n\n## How to Use\nSee the [example jupyter notebook](https://github.com/jbkalmbach/ESP/blob/master/examples/esp_example.ipynb) in the examples folder.\n",
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