References

References

Allen Lee, Sourav Singh, Nathan Moore. 2018. “Software Carpentry: Plotting and Programming in Python.” https://github.com/swcarpentry/python-novice-inflammation.
Azalee Bostroem, Valentina Staneva, Trevor Bekolay. 2016. “Software Carpentry: Programming with Python.” Version 2016.06, 10.5281/zenodo.57492. https://github.com/swcarpentry/python-novice-inflammation.
Holtz, Yan. 2018. “The Python Graph Gallery.” https://www.python-graph-gallery.com/.
Ivan Gonzalez, Nima Hejazi, Daisie Huang. 2019. “Software Carpentry: Version Control with Git.” Version 2019.06.1, 10.5281/zenodo.3264950. https://github.com/swcarpentry/git-novice.
Norris, Simon. 2022. bcdata Python Package.” https://pypi.org/project/bcdata/#description.
“Quarto Guides.” 2022. https://quarto.org/docs/guide/.
Waskom, Michael. 2012. “Seaborn Tutorials.” https://seaborn.pydata.org/tutorial.html.

Cheat Sheets

There are many useful cheatsheets that will aggregate commonly used functions and commands into one location. datacamp hosts many of these cheatsheets for Python as well as other languages and programs. The cheatsheet itself is typically a 1-2 page PDF that can be easily referenced for standard functions. Some of the cheatsheets that reference materials in this course include:

  1. Getting started with Python
  2. Python for Data Science
  3. Pandas: Data Wrangling
  4. Matplotlib
  5. Seaborn