@misc{ihaka_r_2024,
	title = {R: {Programming} {Language} for {Statistical} {Analysis}},
	url = {https://www.r-project.org/},
	author = {Ihaka, Ross and Gentleman, Robert and {others}},
	year = {2024},
	annote = {Accessed September 15, 2025.},
}

@book{free_software_foundation_gnu_2023,
	title = {{GNU} {Emacs}},
	url = {https://www.gnu.org/software/emacs/},
	author = {{Free Software Foundation}},
	year = {2023},
	annote = {Version 29.1. Accessed September 16, 2025.},
}

@book{org_mode_community_gnu_2024,
	title = {{GNU} {Org} {Mode}: {Organize} {Your} {Life} in {Plain} {Text}},
	url = {https://orgmode.org/},
	author = {{Org mode community}},
	year = {2024},
	annote = {Version 9.7.6. Accessed September 16, 2025.},
}

@misc{noauthor_gitea_nodate,
	title = {Gitea {Official} {Website}},
	url = {https://about.gitea.com/},
	abstract = {Gitea - Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD},
	urldate = {2025-11-18},
	file = {Snapshot:/home/matthew/Zotero/storage/N2EC4Q5X/about.gitea.com.html:text/html},
}

@misc{positco_tidyverse_nodate,
	title = {Tidyverse},
	url = {https://www.tidyverse.org/},
	abstract = {The tidyverse is an integrated collection of R packages designed to make data science fast, fluid, and fun.},
	language = {en-us},
	urldate = {2026-01-12},
	journal = {Tidyverse {\textbar}R packages for data science},
	author = {{posit.co}},
	file = {Snapshot:/home/matthew/Zotero/storage/5BTBIIIH/www.tidyverse.org.html:text/html},
}

@misc{python_software_foundation_welcome_2026,
	title = {Welcome to {Python}.org},
	url = {https://www.python.org/},
	abstract = {The official home of the Python Programming Language},
	language = {en},
	urldate = {2026-01-12},
	journal = {Python.org},
	author = {{Python Software Foundation}},
	month = jan,
	year = {2026},
	file = {Snapshot:/home/matthew/Zotero/storage/VH6UZBHV/www.python.org.html:text/html},
}

@misc{noauthor_scikit-learn_nodate,
	title = {scikit-learn: machine learning in {Python} — scikit-learn 1.8.0 documentation},
	url = {https://scikit-learn.org/stable/index.html},
	urldate = {2026-01-12},
}

@misc{noauthor_pandas_nodate,
	title = {pandas - {Python} {Data} {Analysis} {Library}},
	url = {https://pandas.pydata.org/},
	urldate = {2026-01-12},
	file = {pandas - Python Data Analysis Library:/home/matthew/Zotero/storage/GB3N6IBE/pandas.pydata.org.html:text/html},
}

@misc{noauthor_matplotlib_nodate,
	title = {Matplotlib — {Visualization} with {Python}},
	url = {https://matplotlib.org/},
	urldate = {2026-01-12},
	file = {Matplotlib — Visualization with Python:/home/matthew/Zotero/storage/UAE9YH7E/matplotlib.org.html:text/html},
}

@misc{noauthor_plotly_nodate,
	title = {Plotly},
	url = {https://plotly.com/python/},
	abstract = {Plotly's},
	urldate = {2026-01-12},
	file = {Snapshot:/home/matthew/Zotero/storage/WNB7RVZC/python.html:text/html},
}

@misc{noauthor_uv_nodate,
	title = {uv},
	url = {https://docs.astral.sh/uv/},
	urldate = {2026-01-12},
	file = {uv:/home/matthew/Zotero/storage/RZY8HP7J/uv.html:text/html},
}

@misc{noauthor_scale_nodate,
	title = {Scale {Functions} for {Visualization}},
	url = {https://scales.r-lib.org/},
	abstract = {Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.},
	language = {en},
	urldate = {2026-01-12},
	file = {Snapshot:/home/matthew/Zotero/storage/T4CVV5QZ/scales.r-lib.org.html:text/html},
}

@misc{madje_typst_2026,
	title = {Typst},
	copyright = {Apache-2.0},
	url = {https://github.com/typst/typst},
	abstract = {A markup-based typesetting system that is powerful and easy to learn.},
	urldate = {2026-01-12},
	author = {Mädje, Laurenz and Haug, Martin and {The Typst Project Developers}},
	month = jan,
	year = {2026},
	note = {original-date: 2019-09-24T21:41:56Z},
}