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        "author": "Matt Craig",
        "author_email": "mcraig@mnstate.edu",
        "bugtrack_url": null,
        "classifiers": [
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Astronomy"
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        "description": "This package provides a Jupyter notebook for reducing CCD data.\n\nDocumentation is at: https://reducer.readthedocs.org\n\n.. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat :target:http://astropy.org\n\nPlease provide feedback\n=======================\n\nComments are very, very much welcome. Please comment by `making a new\nissue on Github <https://github.com/mwcraig/reducer/issues>`__ (if, by\nchance, a reasonably senior academic is using this, you can send\nfeedback by email; anyone else should *really* create a github account\nso you can make an issue :)).\n\nInstallation\n============\n\n\n**Note about IPython/Jupyter version support:** Version 0.3 and higher of\nreducer works with IPython 4/Jupyter. Version 0.1 works with IPython 2, and\nVersion 0.2.x work with IPython 3 or IPython 4/Jupyter. No improvements to\n``reducer`` will be backported to version 0.1.x/IPython 2 or to 0.2.x/IPYthon\n3. Feel free to fork if you need that!\n\nYou need python (2.7, or 3.4 or higher) and the `SciPy\nstack <http://scipy.org>`__. The easiest way to the get the full stack\nis from a distribution like `anaconda <http://continuum.io>`__.\n\nOn Windows it will be easiest to install using the Anaconda Python\ndistribution and ``conda`` (because everything has been compiled for you).\n\nTo install using ``conda``:\n\n::\n\n    conda install -c mwcraig -c astropy reducer\n\n\nIf you prefer, you can install with pip in any python distribution (but may\nend up compiling some of the dependencies):\n\n::\n\n    pip install reducer\n\n\nYou can, if you want, grab the source on github (there is a \"Download as\nZIP\" link on the right you can use if you don't want to mess git),\nchange into the source directory, and run ``python setup.py install``.\n\n.. note::\n\n    `reducer` comes with a small set of images; the download size is roughly\n    13MB. It is provided so you can try the notebook without needing your own\n    data. If you run the notebook as-is then the sample images will get\n    expanded to 300MB in a temporary directory.\n\n\nUsage\n=====\n\nThis package doesn't magically do your reduction for you. Instead, it\ncreates a template `jupyter notebook <http://jupyter.org>`_ that leads\nyou through data reduction. When you are done\nyou have reduced your data and *you have a notebook that allows you or\nsomeone else to reproduce your work*.\n\nIn a terminal, navigate to the directory where you want to keep the\nnotebook for doing your reduction (which does not have to be the same\ndirectory where the data is, though it can be), then type::\n\n    reducer\n\nThis will create a new template notebook. To open the notebook, type\nin a terminal::\n\n    jupyter notebook\n\nA browser window will open; the notebook you want is named \"reduction.ipynb\".\nClick on it, then just do what it says in the notebook and reduced data (and\nsomeday photometry!) will be yours.\n\nUnder the hood\n==============\n\nIf you look at the source code you'll notice pretty quickly that there\nis no actual *science* code. Think of this as the glue that brings\ntogether a couple related packages:\n\n-  `ccdproc <http://github.com/astropy/ccdproc>`__ for the actual data\n   reduction.\n-  `astropy <http://github.com/astropy>`__ for lots of the underlying\n   structure .\n",
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