Useful Python libraries
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pyfits (http://pythonhosted.org/pyfits/users_guide/users_tutorial.html) [Reading FITS files]
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astropy (http://www.astropy.org/)
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pyraf (http://www.stsci.edu/institute/software_hardware/pyraf) [Iraf]
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pyephem (https://github.com/brandon-rhodes/pyephem) [Ephemerides]
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galpy (https://github.com/jobovy/galpy) [Galaxy dynamics]
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astroplotlib (http://astroplotlib.stsci.edu/)
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astroquery (http://astroquery.readthedocs.org/en/latest/)
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astroML (https://github.com/astroML/astroML) [Machine learning]
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gatspy (https://github.com/astroml/gatspy/) [General tools for Astronomical Time Series in Python]
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py-sphviewer (https://github.com/alejandrobll/py-sphviewer) [Rendering cosmological simulations]
- blaze (http://continuum.io/blog/blaze)
- Dask (http://dask.pydata.org/en/latest/) [Parallel Computing]
- scikits-image (http://scikit-image.org/)
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empca (https://github.com/sbailey/empca/) [PCA for noise data]
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scikit-learn (http://scikit-learn.org/stable/)
- emcee (http://dan.iel.fm/emcee/current/)
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mpld3 (http://mpld3.github.io/)
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prettyplot (http://blog.olgabotvinnik.com/prettyplotlib/)
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JSAnimation (https://github.com/jakevdp/JSAnimation)
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py-sphviewer (https://github.com/alejandrobll/py-sphviewer) [rendering cosmological simulations]
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Bokeh (http://bokeh.pydata.org/en/latest/index.html) [interactive visualization library for web browsers]
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APLpy (http://aplpy.github.io/) [producing publication-quality plots of astronomical imaging data in FITS format]