Pythia’s educational materials cover many of the technologies and practices that are vital to Open Science principles such as transparency, accessibility, and reproducibility. But for a scientist not accustomed with many of these technologies, putting everything together in a way that allows them to create a shareable, reproducible workflow may not be obvious. Pythia should consider adding a section that leverages the Foundations modules and provides more of a step-by-step guide to creating a reproducible workflow with a Jupyter Notebook, backed by GitHub and conda. The guide might include a template repo with a Notebook and conda environment management (a slimmed down version of the cookbook template), and a discussion on best practices.
Pythia’s educational materials cover many of the technologies and practices that are vital to Open Science principles such as transparency, accessibility, and reproducibility. But for a scientist not accustomed with many of these technologies, putting everything together in a way that allows them to create a shareable, reproducible workflow may not be obvious. Pythia should consider adding a section that leverages the Foundations modules and provides more of a step-by-step guide to creating a reproducible workflow with a Jupyter Notebook, backed by GitHub and conda. The guide might include a template repo with a Notebook and conda environment management (a slimmed down version of the cookbook template), and a discussion on best practices.