<commit_before>This "package" provides an ipython notebook for reducing and doing
stellar photometry on CCD data.

WARNING: THIS PACKAGE CURRENTLY DOES NO REDUCTION
=================================================

Right now the this package is purely cosmetic -- there is just enough
pseudo-functionality to get some useful feedback on the interface.

Comments are very, very much welcome. Please comment by `making a new
issue on Github <https://github.com/mwcraig/reducer/issues>`__ (if, by
chance, a reasonably senior academic is using this, you can send
feedback by email; anyone else should *really* create a github account
so you can make an issue :)).

Installation
============

You need python (2.7, or 3.4 or higher) and the `SciPy
stack <http://scipy.org>`__. The easiest way to the get the full stack
is from a distribution like `anaconda <http://continuum.io>`__.

Then, in a teerminal/command window:

::

    pip install --pre reducer


You can, if you want, grab the source on github (there is a "Download as
ZIP" link on the right you can use if you don't want to mess git),
change into the source directory, and run ``python setup.py install``.

Usage
=====

This package doesn't magically do your reduction for you. Instead, it
creates a template `ipython notebook <http://ipython.org>`__ that leads
you through data reduction and aperture photometry. When you are done
you have reduced your data and *you have a notebook that allows you or
someone else to reproduce your work*.

In a terminal, navigate to the directory where you want to keep the
notebook for doing your reduction (which does not have to be the same<commit_msg>Fix typo<commit_after>This "package" provides an ipython notebook for reducing and doing
stellar photometry on CCD data.

WARNING: THIS PACKAGE CURRENTLY DOES NO REDUCTION
=================================================

Right now the this package is purely cosmetic -- there is just enough
pseudo-functionality to get some useful feedback on the interface.

Comments are very, very much welcome. Please comment by `making a new
issue on Github <https://github.com/mwcraig/reducer/issues>`__ (if, by
chance, a reasonably senior academic is using this, you can send
feedback by email; anyone else should *really* create a github account
so you can make an issue :)).

Installation
============

You need python (2.7, or 3.4 or higher) and the `SciPy
stack <http://scipy.org>`__. The easiest way to the get the full stack
is from a distribution like `anaconda <http://continuum.io>`__.

Then, in a terminal/command window:

::

    pip install --pre reducer


You can, if you want, grab the source on github (there is a "Download as
ZIP" link on the right you can use if you don't want to mess git),
change into the source directory, and run ``python setup.py install``.

Usage
=====

This package doesn't magically do your reduction for you. Instead, it
creates a template `ipython notebook <http://ipython.org>`__ that leads
you through data reduction and aperture photometry. When you are done
you have reduced your data and *you have a notebook that allows you or
someone else to reproduce your work*.

In a terminal, navigate to the directory where you want to keep the
notebook for doing your reduction (which does not have to be the same
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