Welcome to the online presence of Andy R. Terrel, PhD. Here you can find out a few things I share with the world for fame and glory (money-back guaranteed).
Personal history of NumFOCUS
A NumFOCUS History: Sustaining Open Source Scientific Codes
After a few of the last board meetings and discussions on board votes, I’ve been pondering a number of questions. Questions about who is NumFOCUS and why we exist. Where we are going and what problems in the world we would ...read more
Diversity at SciPy2014
Joining the Big Data Brain Drain
So long academia and thanks for all the debates!
Today is my last day of a wonderful three years at the University of Texas at Austin. Starting Monday, following Jake Vanderplas' terminology, I join the big data brain drain. I will be joining Continuum Analytics a their Chief Computational Scientist ...read more
Women in Scientific Computing, SciPy 2013
NumPy SciPy Benchmarks
At PyCon2013, a group of about 30 developers got together to discuss NumPy and SciPy. The room mostly included folks that use NumPy and SciPy extensively, such as myself, a few who were just learning, and several core contributors (if not currently in the past), such as Eric Jones, Travis ...read more
Participate at SciPy2013
The early registration deadline is rapidly approaching for SciPy2013, and all our decisions on speakers are out. This year was really tough as we had more submission than ever at a quality that exceeded all my expectations. If you submitted something and haven't heard from us, let me know ...read more
Usefulness of a University
The post reiterating that the biggest problem in teaching software carpentry (SWC) is installation, got me all in a tissy. I even signed up for their mailing list!
My first impression with SWC was a wonderful community that in encouraging folks to learn computing skills. After witnessing the TeachScheme movement ...read more
A Rule of Software on Usabilty
Make your software useful. That is the point without usefulness there is no need for existence.
If you write a function that is not useful, scrub it from your text editors as not to offend the blessed pixels. Do not fear throwing away non-useful parts of your code, better to ...read more
There are two major hurdles to Python disrupting the entire HPC work stack: packaging and dynamic loading. Today I want to discuss the packaging issue. While there are many people working on these hurdles, it is my opinion that the community needs to seek out methods to solve these hurdles ...read more