Resources_for_Continue_Learning.md

Resources for Continue Learning

1. Lessons Software Carpentry

   • 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. Lessons Data Carpentry (Ecology)

   • Overview: http://www.datacarpentry.org/ecology-workshop/
   • Spreadsheets: http://datacarpentry.github.io/spreadsheet-ecology-lesson/
   • OpenRefine: http://datacarpentry.github.io/OpenRefine-ecology-lesson/
   • SQL: http://datacarpentry.github.io/sql-ecology-lesson/
   • Visualization using R: http://datacarpentry.github.io/R-ecology-lesson/
   • Other Carpentry Lessons: http://www.datacarpentry.org/lessons/

3. SC Reference (Includes Summaries of Basic Commands):

   • shell: https://swcarpentry.github.io/shell-novice/reference/
   • git: https://swcarpentry.github.io/git-novice/reference/
   • Gapmider
     • python: https://swcarpentry.github.io/python-novice-gapminder/reference/
     • R: http://swcarpentry.github.io/r-novice-gapminder/reference/

4. DC Reference:

   • Spreadsheets: http://www.datacarpentry.org/spreadsheet-ecology-lesson/reference/
   • OpenRefine: http://www.datacarpentry.org/OpenRefine-ecology-lesson/reference/
   • SQL: http://www.datacarpentry.org/sql-ecology-lesson/reference/
   • Visualization using R: http://www.datacarpentry.org/sql-ecology-lesson/reference/

5. 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/](https://www.python.org/doc/) * List of python tutorials: [https://www.fullstackpython.com/best-python-resources.html](https://www.fullstackpython.com/best-python-resources.html) * Python floating point Issues and Limitations: [https://docs.python.org/3/tutorial/floatingpoint.html](https://docs.python.org/3/tutorial/floatingpoint.html)

1. Python and R

   • Code Academy: https://www.codecademy.com/
   • Code: http://code.org
   • InLearning (OU): https://www.linkedin.com/learning

2. Git/GitHub

   • Guide to Markdown on Github: https://guides.github.com/features/mastering-markdown/
   • Intro to Github workflow: https://guides.github.com/introduction/flow/
   • Forking projects on Github: https://guides.github.com/activities/forking/

3. Plotting

   • What chart do I use?
     • http://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html
   • What slide do I use?
     • http://extremepresentation.typepad.com/blog/2015/01/announcing-the-slide-chooser.html
   • Pandas visualization examples:
     • http://pandas.pydata.org/pandas-docs/version/0.18.1/visualization.html
   • Matplotlib visualization examples:
     • http://matplotlib.org/gallery.html

4. Library(package) documentation:

   • matplotlib: http://matplotlib.org/
   • pandas: http://pandas.pydata.org/
   • ggplot2: https://ggplot2.tidyverse.org//
   • tidyverse: https://www.tidyverse.org/

5. Cheatsheets

   • Pandas
   • ggplot2
   • dplyr
   • tidyr

6. 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/](http://www.bestprogramminglanguagefor.me/)

7. Other Readings

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