Added links for the 'resources and links' page

docs/source/index.rst

@@ -11,6 +11,8 @@ Welcome to Vanderbilt - Starting Grad School's documentation!
    :caption: Contents:
 
    mac_101
+   python_intro
+   useful_links
 
 
 

docs/source/useful_links.rst

@@ -0,0 +1,71 @@
+=============================
+Useful links and Resources
+=============================
+
+This is a set of useful links and resources that might make your 
+days as a graduate student more comfortable.
+It includes links from science, coding, machine learning, etc.
+
+-----------------
+General
+-----------------
+
+- `Vanderbilt University <http://www.vanderbilt.edu/>`_
+- `Vanderbilt Astronomy Group <http://as.vanderbilt.edu/astronomy/>`_
+- `Journal Club - Schedule <https://as.vanderbilt.edu/astronomy/category/journal-club/>`_
+- `AstroBrew Schedule <https://as.vanderbilt.edu/astronomy/category/astrobrew/>`_
+- `Vandy Astronomy - Workshops and Seminars <https://vandyastroml.github.io>`_ Main Website for the Astronomy Workshops and Seminars at Vanderbilt
+
+-----------------
+Reading Papers
+-----------------
+
+- `ADS <http://adswww.harvard.edu/>`_
+- `ADS 2.0 Beta <https://ui.adsabs.harvard.edu/>`_
+- `arxiv astro-ph <https://arxiv.org/archive/astro-ph>`_
+- `Vanderbilt VoxCharta <http://vanderbilt.voxcharta.org/>`_ - ArXiv discussion of the latest astronomy papers
+- `Arxiver <http://arxiver.moonhats.com/>`_ - Bringing you the latest astronomy papers uploaded to astro-ph
+- `Astrobites <https://astrobites.org/>`_ - The astro-ph reader's digest
+- `Astrobitos <https://astrobitos.org/>`_ - Spanish version of **Astrobites**
+- `Daily Brew <http://www.astronomy.ohio-state.edu/Coffee/coffee.html>`_ - Selected astro-ph abstracts for Astro
+- 
+
+-----------------
+Version Control
+-----------------
+
+- `Github <https://github.com/>`_
+- `Github Guides and Tutorials <https://guides.github.com/>`_
+- `Git tutorials and training <https://www.atlassian.com/git/tutorials/>`_ by Atlassian
+
+-----------------
+Coding
+-----------------
+
+- `Python Course <https://www.codecademy.com/learn/python>`_ by Codecademy
+- `Learn Python the Hard way <http://learnpythonthehardway.org/>`_ - Free online course on Python
+- `Astro ML <http://www.astroml.org/>`_ - Machine Learning and Data Mining for Astronomy
+
+-----------------
+LaTeX
+-----------------
+
+- `Learn LaTeX in 30 minutes <https://www.sharelatex.com/learn/Learn_LaTeX_in_30_minutes>`_
+
+-----------------
+Machine Learning
+-----------------
+
+- `Machine Learning Course <https://www.coursera.org/learn/machine-learning/>`_ by Andrew Ng (Stanford)
+- `Caltech-JPL Summer School on Big Data Analytics <https://www.coursera.org/course/bigdataschool>`_ course
+- `Victor Lavrenko's playlist <https://www.youtube.com/user/victorlavrenko/playlists>`_ on machine learning tutorials
+- `Introductory Applied Machine Learning <http://www.inf.ed.ac.uk/teaching/courses/iaml/>`_
+- `Udacity's Deep Learning course <https://www.udacity.com/course/deep-learning--ud730>`_
+
+-----------------
+Papers
+-----------------
+
+- `Good Enough Practices in Scientific Computing <http://arxiv.org/abs/1609.00037>`_ by by Greg Wilson et al. (2016)
+- `"Ten Simple Rules for Making Research Software More Robust" <https://arxiv.org/abs/1610.04546>`_ by Morgan Taschuk et al. (2017)
+- `Interactive Notebooks: Sharing the Code <http://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261>`_ by Helen Shen