| dc.contributor.author | Davis, Nicholas | |
| dc.date.accessioned | 2015-08-16T21:02:01Z | |
| dc.date.available | 2015-08-16T21:02:01Z | |
| dc.date.issued | 2014-09-24 | |
| dc.identifier.uri | https://hdl.handle.net/11244/15507 | |
| dc.description | Nick Davis, PhD
Assistant Professor of Research
Department of Medical Informatics
University of Oklahoma, Tulsa
School of Community Medicine
nicholas-davis@ouhsc.edu@argoneus
Oklahoma Supercomputing
Symposium 2014
September 24, 2014 | en_US |
| dc.description.abstract | ____R and Python (with Pandas) are
excellent languages for data analysis
____Parallelizing code is often trivial, with
some caveats
____Faster runtimes lead to richer
exploration of the data | en_US |
| dc.description.sponsorship | University of Oklahoma
OU Supercomputing Center for Education & Research (OSCER)
Department of Medical Informatics, University of Oklahoma, Tulsa, School of Community Medicine | en_US |
| dc.language | en_US | en_US |
| dc.subject | computer science | en_US |
| dc.subject | Biology, Bioinformatics. | en_US |
| dc.title | Rapid Calculation of Medication Adherence Using Parallel Computing with R and Python | en_US |
| dc.type | Presentation | en_US |
| dc.description.peerreview | No | en_US |
| ou.group | Oklahoma Supercomputing::Oklahoma Supercomputing Symposium::2014 | en_US |
