Useful links and Resources¶
This is a set of useful links and resources that might make your days as a graduate student much more comfortable. It includes links related to science, coding, machine learning, etc.
Table of Contents
- General
- MAC-related (if applicable)
- Reading Papers
- Giving Presentations
- Paper Management
- Taking Notes
- Collaborations
- Conferences
- General Learning
- Python & Anaconda
- Interesting Python Packages
- Python Packaging
- Code Editors
- Code Structure
- Version Control
- SSH Keys
- LaTeX
- Writing Papers
- Online Presentations
- Data Science
- Machine Learning
- Papers
- Interesting Books
- Jobs and Applications
- Miscellaneous Links
General¶
- Vanderbilt University
- Vanderbilt Astronomy Group
- Journal Club - Schedule
- AstroBrew Schedule
- Vandy Astronomy - Workshops and Seminars - Main Website for the Astronomy Workshops and Seminars at Vanderbilt
Reading Papers¶
- ADS
- ADS 2.0 Beta
- arxiv astro-ph
- Vanderbilt VoxCharta - ArXiv discussion of the latest astronomy papers
- Arxiver - Bringing you the latest astronomy papers uploaded to astro-ph
- Astrobites - The astro-ph reader’s digest
- Astrobitos - Spanish version of Astrobites
- Daily Brew - Selected astro-ph abstracts for Astro
- Benty Fields - Selected papers to use. It uses ML to suggest you new papers.
- AAS Nova - Research highlights from the journals of the American Astronomical Society
General Learning¶
- The Tech Savvy Mission - Empowering Researchers
- Coursera - Free Online Courses
- EdX - Free Online Courses
- World Science U
- World Science Festival
- TED Talks
- DataGeekette - Walkthrough for Aspiring Data Scientists
Python & Anaconda¶
- Python Course by Codecademy
- Learn Python the Hard way - Free online course on Python
- Anaconda and Python
- Scientific Python Lectures
- The Hitchhiker’s Guide to Python - Useful guide to use when using Python. Both for novice and experty Python developers.
- The Hitchhiker’s Guide to Packaging - Useful guide to know how to package your Python modules.
- Astro ML - Machine Learning and Data Mining for Astronomy
- Cython Tutorial
- iPython in Depth Tutorial
- Python for Scientists Tutorial - Set of lecture notes by Thomas Robitaille
Python Packaging¶
- Astropy Template for Python Packages - Github and its documentation
- How to create and maintain a Python package using the Astropy template
- Cookiecutter template for a Python package - I actually prefer the Astropy Template because of how easy it is to set up.
- The Python Package Index (PyPi)
- Read The Docs - Create custom documentation for your package and project for free. See Astropy_Template_rtd_subsec for more info.
- Travis CI (Continuous Integration) - Used for Continous Integration. For more information, see Astropy_Template_continous_integrations_subsec.
Code Editors¶
- Sublime Text 3
- Sublime Text Unofficial Documentation
- PyCharm
- Atom Editor - Similar to Sublime Text.
- VIM for Beginners
Writing Papers¶
- Overleaf - Collaborative Writing and Publishing
- ShareLatex - Another tool for Collaborative Writing and Publishing
- Acknowledgment Generator - Easy way to write the __Acknowledgement section of a paper
Data Science¶
- Kaggle Learn - Faster Data Science Education
- Astronomy and Data Science Toolkin - Connecting Astronomers and Data Science
- 12 things I wish I’d known before starting as a Data Scientist
Machine Learning¶
- Vanderbilt Astro Machine Learning group
- AstroML
- AstroML Book or on Amazon
- Machine Learning Course by Andrew Ng (Stanford)
- Victor Lavrenko’s playlist on machine learning tutorials
- Introductory Applied Machine Learning
- Udacity’s Deep Learning course
- Intro to Random Forests - Good introduction to the topic of Random Forests in machine learning
- Data Science Learning Resources - Curated list of resources to learn machine learning
- Essentials of Machine Learning Algorithms (with Python and R Codes) - Nice explanation of ML concepts and algorithms
- TensorFlow tutorial - Non-traditional TensorFlow tutorial by Daniel Foreman-Mackey
- Essential libraries for Machine Learning in Python
- VIP Cheatsheets for Stanford CS 230 Deep Learning and in other languages
- Best Machine Learning resources
Papers¶
- Good Enough Practices in Scientific Computing by by Greg Wilson et al. (2016)
- “Ten Simple Rules for Making Research Software More Robust” by Morgan Taschuk et al. (2017)
- Interactive Notebooks: Sharing the Code by Helen Shen
Interesting Books¶
- The Cosmic Web by Gott
- Statistics Books by astronomers and physicists
- Practical Statistics for Astronomers
- Galaxy Formation and Evolution by Mo, van den Bosch, and White
- Extragalactic Astronomy and Cosmology by Peter Schneider
- Introduction to Cosmology by Barbara Ryden or the PDF version
- An Introduction to Modern Astrophysics by Bradley Carroll
Jobs and Applications¶
- Astronomy - Rumor Mill
- The Grad Cafe - Grad School Admissions Results, Tips, Forums, etc.
- AAS Job Register - Find and post astronomy related jobs
- Benti-Fields Job Market
Miscellaneous Links¶
- Badge Creator - Tool to create badges for your Github repositories.
- Guide to Science Policy - Astrobites