Resources

This area is specifically curated to support your learning journey in data science using R and Python programming. Here, we have compiled a comprehensive set of learning materials, datasets and tools designed to enhance your understanding and skills.

eBooks

Name	Description	Author
sketchy-html	Sketchy HTML document using Rough Notation	schochastics
letter-pdf	PDF format for creating letters.	Mickaël CANOUIL
hikmah-pdf	Opinionated PDF format with support to biblatex-chicago and more.	andrewheiss
titlepage-pdf	PDF format with custom title page or book cover.	nmfs-opensci
inrae	INRAE formats for HTML, PDF, Docx, Revealjs, and Beamer	davidcarayon
bookup	HTML format providing light and dark themes and suitable for documents, books and websites	juba
fancy-doc	A PDF format that brings LaTeX’s `fancyhdr` package into Quarto for miscellaneous documents.	DamonCharlesRoberts
invoice-typst	Quarto Typst template extension to make invoices.	Mickaël CANOUIL
PrettyPDF	Quarto extension to generate a PDF with (pretty) LaTeX styling.	Nicola Rennie
storybook-revealjs	Medieval inspired format for Revealjs	Mickaël CANOUIL
coeos-revealjs	Dark grey / white based format for Revealjs	Mickaël CANOUIL
rladies-revealjs	R-Ladies format for Revealjs	beatrizmilz
onyxia-revealjs	Onyxia format for Revealjs	InseeFrLab
blackboard-revealjs	Blackboard like format for Revealjs	schochastics
nes-revealjs	NES.css format for Revealjs	EmilHvitfeldt
rlille-revealjs	R Lille (R User Group) format for Revealjs	Mickaël CANOUIL
metropolis-revealjs	Beamer Metropolis like format for Revealjs.	Shafayet Khan Shafee
illinois-revealjs	University of Illinois Urbana-Champaign inspired theme for the reveal.js format based on Metropolis.	James Joseph Balamuta
clean-revealjs	A minimal and elegant theme for reveal.js, inspired by modern Beamer templates.	Grant McDermott