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  • Science-on-GitHub: Resources to accompany Nature Toolbox article on Science on GitHub
  • docker-cheat-sheet: Docker Cheat Sheet
  • fmri-report: None
  • scipy-lecture-notes: Tutorial material on the scientific Python ecosystem
  • good-enough-practices-in-scientific-computing: Minimalist alternatives to "best practices" paper
  • Probabilistic-Programming-and-Bayesian-Methods-for-Hackers: aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
  • rst-cheatsheet: A two-page cheatsheet for restructured text
  • Dery_HBM_ClubsOfScience: Dery_HBM_ClubsOfScience
  • A-Psychologists-Guide-to-R: A repository containing the course notes and worked examples for a six week course in the R statistical programming language aimed at helping psychology students and faculty to learn R. This course was taught live at the University of Melbourne, Australia in 2016.
  • exploratory_computing_with_python: None
  • IntroductionToResearchComputing: None
  • packtpub-crawler: Download your daily free Packt Publishing eBook https://www.packtpub.com/packt/offers/free-learning
  • lemonade-stand: A handy guide to financial support for open source
  • diss: Influence apart from Adoption: How Interaction between Programming and Scientific Practices Shapes Modes of Inquiry in Four Oceanography Teams
  • stanfordtownhall: Slides for a talk at the Stanford Reproducibility Town Hall, April 12, 2017
  • sustaining-research-projects: sustainability models for research software projects

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