Browsing Archives of Author »Anthony Scopatz«

Episode 32: Code Reproducibility and Open Source



Listen to the podcast The panel discussion  in episode 32 raises the importance of code reproducibility for scientific work. Open source software is a great contributor towards that end. The panel gives examples related to those issues from perspectives: spaceflight engineering, healthcare modeling, and nuclear engineering. On today’s show our hosts include: Jacob Barhak (special […]

Thence Flash, Thither UW



Life Update I am not really sure where to post this, so I have decided that inSCIght is as good a place as any. Due to our current funding round coming up during the sequester,  the Flash Center is currently scaling back to focus on its core mission.  So my job as a Research Scientist at […]

The Shining: Panda Edition



Or, Adventures in CI Py. As some of you may know I help run an open source nuclear engineering project called PyNE.  It is awesome, and complicated.  It isn’t complicated because it is nuclear related.  It is complicated because we provide C++ and Python APIs (which are idiomatic to each language) and data.  We also have the […]

Passive Reproducibility: It’s Not You, It’s Me



The ICERM workshop on Reproducibility in Computational and Experimental Mathematics at Brown University is coming up in a couple of  weeks.  Prior to this, they invited all participants to submit a short position paper “…to express [our] thoughts on issues concerning reproducibility…”  I couldn’t pass up the opportunity.  I hope you enjoy my submission (below). Dear […]

A Note on Replication



SciPy 2012 Postview: The following is a section taken from my SciPy 2012 proceeding from the conference last week.   You can see the paper at github.  This post is a follow up to the “Why Reproducibility is Important” post.  I hope to do a recap of the conference itself next week!  (NOTE: flmake is a specific CLI utility for workflow management in the […]

Why Reproducibility is Important



SciPy 2012 Preview: The following is a section taken from my SciPy 2012 proceeding for the conference next week.   You can see a preview of the paper at github.  I hope to see you at the conference (and my talk)! True to its part of speech, much of ‘scientific computing’ has the trappings of science […]

Episode 28: R We Not Statisticians?



Listen to the podcast On episode 28, we finally get around to tackling R, a language for statistical computing.  R has a storied history as an LGPL code related to the S language which came out of Bell labs which itself was influenced by Scheme.  R is the go-to tool for many statisticians, analysts, and data scientists.   […]