References

Python

The Python Tutorial (Excellent resource!) https://docs.python.org/3/tutorial/index.html

Wes McKinney, Python for Data Analysis, (O’Reilly) https://wesmckinney.com/book/

R Programming

John Braun & Duncan Murdoch, A First Course in Statistical Programming with R, (Cambridge University Press, 2016) Western Library

Hadley Wickham & Garrett Grolemund, R for Data Science, (O’Reilly, 2017) https://r4ds.hadley.nz/ Specifically this chapter for scripts/projects https://r4ds.hadley.nz/workflow-scripts.html

Garrett Grolemund, Hands-on Programming with R (O’Reilly) https://rstudio-education.github.io/hopr/index.html

Search information from CRAN (reference manuals, vignettes, etc.)
https://cran.r-project.org/web/packages/available_packages_by_name.html

R-Studio

The RStudio IDE User Guide is an excellent resource: https://docs.posit.co/ide/user/

There are also RStudio cheat sheets available: https://www.rstudio.com/resources/cheatsheets/

R Markdown

Getting Started with R Markdown https://rmarkdown.rstudio.com/lesson-1.html

Yihui Xie, J. J. Allaire, and Garrett Grolemund, R Markdown: The Definitive Guide, (2021) https://bookdown.org/yihui/rmarkdown/