HABEMUS Python

Resources to help students combine reproducible research, software engineering with CI automation, and high-quality, code-based typesetting to achieve the “executable manuscripts” goal: engineer your documents to be reproducible, automated, and aesthetic by design! The project has been carried out as a collaborative project involving 30 students enrolled in the "Research Software Engineering in Python for Reproducible Computational Science", including several members of our team.

🌟 Flagship projects

Quarto template for BEng/MSc/PhD theses enabling composing (and reproducing) an entire thesis in Python/Markdown/LaTeX/BiblaTeX from a single Jupyter notebook:

Quarto AGH slide deck enabling composing (and reproducing) a set of presentation slides in Python/RevealJS/citeproc from a single Jupyter notebook:

Contributors from our team

Gracjan Adamus

Ongoing BEng project (major: Applied Computer Science, AGH)

Alicja Jagielska

Ongoing BEng project (major: Computer Physics, AGH)

Rafał Oszajca

Ongoing BEng project (major: Applied Computer Science, AGH)

Sylwester Arabas

Team lead (PhD, Physics, U. Warsaw, 2013)