Resources_for_Continued_Learning.md

Resources for Continued Learning

1. Lessons:

   • Shell: https://swcarpentry.github.io/shell-novice/
   • Git: https://swcarpentry.github.io/git-novice/
   • Gapminder:
     • Python: https://swcarpentry.github.io/python-novice-gapminder/
     • R: http://swcarpentry.github.io/r-novice-gapminder
   • Other Carpentry Lessons: http://software-carpentry.org/lessons/

2. SWC Reference (Includes Summaries of Basic Commands):

   • Shell: https://swcarpentry.github.io/shell-novice/reference/
   • Git: https://swcarpentry.github.io/git-novice/reference/
   • Gapminder
     • Python: https://swcarpentry.github.io/python-novice-gapminder/reference/
     • R: http://swcarpentry.github.io/r-novice-gapminder/reference/

3. Additional Resources

   • Shell:

     • Cool website that can dissect your shell commands (super useful for troubleshooting): http://explainshell.com/

   • Python:

     • Python documentation: https://www.python.org/doc/
     • List of python tutorials: https://www.fullstackpython.com/best-python-resources.html
     • Python floating point Issues and Limitations: https://docs.python.org/3/tutorial/floatingpoint.html

4. Python and R:

   • Code Academy: https://www.codecademy.com/
   • Code: http://code.org
   • Lynda.com: https://www.lynda.com/portal/sip?org=lawrence.lib.ks.us
   • Udacity: https://udacity.com

5. Git/GitHub:

   • Guide to Markdown on Github: https://guides.github.com/features/mastering-markdown/
   • Intro to Github work flow: https://guides.github.com/introduction/flow/
   • Forking projects on Github: https://guides.github.com/activities/forking/
     • perks: Students are eligible for a free Github education account (unlimited private repositories) https://education.github.com

6. Plotting:

   • What chart do I use? http://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html
   • Pandas visualization examples: http://pandas.pydata.org/pandas-docs/version/0.18.1/visualization.html
   • Matplotlib visualization examples: http://matplotlib.org/gallery.html

7. Library(package) documentation:

   • matplotlib: http://matplotlib.org/
   • pandas: http://pandas.pydata.org/

8. Cheatsheets:

   • Pandas: https://github.com/pandas-dev/pandas/raw/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf
   • ggplot2: http://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf

9. Other:

   • A comparison of several text editors for coding: https://developer.mozilla.org/en-US/docs/Learn/Common_questions/Available_text_editors
   • What programming language is right for you: http://www.bestprogramminglanguagefor.me/

10. Light Reading:

    • https://www.bloomberg.com/graphics/2015-paul-ford-what-is-code/