Possible lecture or notes topic: Why Git and Python?

[cgranade]

As a discussion topic, it may be worth either dedicating a bit of time or handout-style notes to why one should built work off of Git, Python and the other tools we're covering at all. There's a very rich ecosystem that has been built up around these tools, such that by giving a taste of that, we can possibly build more interest and point to future directions.

To help start things off, here's a few links that @crazy4pi314 and I have been tossing back and forth, and that might be appropriate for use in this context.

Collaboration and Data Management

• latexdiff: Renders Git diffs as PDFs.
• PyRDM: Library for structured research data management in Python.
• Git LFS: Versioned (and hence auditable!) storage for large files, such as experimental data files.

  Reproducibility and Citability

• Citable code with GitHub and Zenodo: How to generate citable DOIs for scientific software.
• duecredit: Library for automatically generating bibliographies by analyzing what libraries and datasets are used at runtime.
• Reprozip: Tool for creating reproducible virtual machines by tracing through experimental data analysis in Python.

[cgranade]

I'm going to mark this as closed, with the understanding of it being useful for a future workshop, but as too much for the present.