Episode 27: Ladies Who Learn And Code
Listen to the podcast On episode 27, the henspeckles were flying. In April, we had a very lively chat with some very inspiring women in computing and computing education. This episode discusses the...
View ArticleOpen, Free, or Me: Return of the Binary in the Coalmine
You may recall that a few months ago I wrote a post about how open source is a continuum and that free and open are orthogonal concepts. Well, the nice people at the American Nuclear Society invited...
View ArticleEpisode 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...
View ArticleWhy 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...
View ArticleA 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...
View ArticleEpisode 29: OSS in the US Military
Listen to the podcast The US DoD develops and maintains huge amounts of software for all aspects of military life. In episode 29 we talk about the challenges and benefits of use of open source tools...
View ArticleEpisode 30: Check Please!
Listen to the podcast On episode 30, we talked about code review. We had a lovely chat with a few Kitware software development experts who gave very informed perspectives on the efficacy of various...
View ArticleA Big Challenge From an inSCIght Guest
Sumana Harihareswara brought the fun to Episode 27: Ladies Who Learn And Code. Now, she’s bringing a big challenge to the geek community. Sumana and her partner, Leonard Richardson have pledged to...
View ArticleEpisode 31: Scientific Grand Challenges
Listen to the podcast On episode 31, we discuss “Scientific Grand Challenges”– a new, rigorous approach to evaluation of algorithms and methods. A Grand Challenge consists of a set of data used as...
View ArticlePassive 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...
View ArticleThe 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....
View ArticleThence 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...
View ArticleEpisode 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...
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