What kind of experience makes certain applications look better for astronomy PhD positions?

This page summarizes the projects mentioned and recommended in the original post on /r/Astronomy

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  • Puts Debuggerer

    Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.

  • If you haven't had any coding experience through your undergraduate degree, absolutely you will need it as a PhD, and will have trouble finding a position without it. Python is the general go to language of the newer generations of astrophysicists, although previous generations also use IDL, C, C++, and Fortran, among others. Because a lot of the big modelling or data processing/analysis codes have been around for quite some time, you will find that a lot of these languages are still in use. But if you don't already know it, I would stick with Python, as well as the libraries NumPy, AstroPy, and matplotlib. These will cover 99% of all coding applications throughout a PhD degree in Astronomy. If you are already familiar with Python and some of the libraries, you can look into Jupyter Notebooks, a web based, interactive computing platform for Python, and Github, a repository for managing and developing large scale code.

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