Thu 22 September 2016
python data filesystems
It’s been a whirlwind of a summer, and now that it’s officially fall I think I
should take a moment to mention one event I failed to document for posterity
here on my blog. This summer I had the opportunity to present a core project
of mine at
SciPy 2016: . datreant
This project forms the core of my data analysis workflow these days, both
automated and human components (also known as me). The talk functions as a nice
20-minute overview of
datreant, what problem it addresses, and how it works.
Give it a gander if you find yourself drowning in data but can’t really escape
using the filesystem itself as your data store of choice.
Also, there’s now a citable paper for
datreant. Check out the SciPy 2016
proceedings, and consider
citing datreant if it proves useful to you in your work:
D. L. Dotson, S. L. Seyler, M. Linke, R. J. Gowers, O. Beckstein. datreant:
persistent, Pythonic trees for heterogeneous
S. Benthall and S. Rostrup, editors, Proceedings of the 15th Python in Science
Conference, pages 51-56, Austin, TX, 2016. SciPy.
This conference was particularly interesting because I managed to convince not only
my partner-in-crime and labmate
Sean Seyler to attend,
but also my mentor and PI Oliver Beckstein to check
it out for the first time. I’m happy to say they came away very
satisfied with the experience!
I should mention that Oliver also gave a very nice talk on
MDAnalysis, giving special emphasis
on our vibrant community of active developers and users. We also produced a
that functions as an update to the original MDAnalysis
paper, giving details on both new and
upcoming functionality and design changes in the library since.
With that, it’s back to thesis writing. My projects are all nicely wrapped up
at the moment and I’m currently in the throes of compiling it all into an
exhausting…er, exhaustive document. I’ll be fun again after November 4th. :D
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