Update: added links to other related posts, significantly expanded the section on Git and Github for scientific work. Link summary: Page with abstracts and slide links , Victoria Stodden's blog , Mark Liberman's blog , my slides and extended abstract , audio (my talk is at time 53:25 to 1:10:47). At this year's AAAS meeting, currently taking place in DC (in unseasonably warm and sunny weather), Victoria Stodden from the statistics department at Columbia, organized a symposium titled The Digitization of Science: Reproducibility and Interdisciplinary Knowledge Transfer that was very well attended. Lessons from the Open Source software world I have tagged this post with "Python" because my take on the matter was to contrast the world of classic research/academic publishing with the practices of open source software development, and what little I know about that (as well as some specific tools I mentioned, like Sphinx ), I picked up from the w...
Thoughts and notes on open scientific computing, with a focus on Python-based tools (IPython, numpy, scipy, matplotlib and friends). By Fernando Pérez, UC Berkeley Statistics and Data Science Professor. Website at fernandoperez.org.