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DTSTART:19700308T020000
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LOCATION:507
DTSTART;TZID=America/Denver:20191117T155000
DTEND;TZID=America/Denver:20191117T161000
UID:submissions.supercomputing.org_SC19_sess108_ws_pawatm107@linklings.com
SUMMARY:Arkouda: NumPy-Like Arrays at Massive Scale Backed by Chapel
DESCRIPTION:Workshop\n\nArkouda: NumPy-Like Arrays at Massive Scale Backed
  by Chapel\n\nMerrill, Reus, Neumann\n\nExploratory data analysis (EDA) is
  a prerequisite for all data science, as illustrated by the ubiquity of Ju
 pyter notebooks, the preferred interface for EDA among data scientists. In
  order to expand the scale of EDA, we have designed and built a software p
 ackage for using NumPy-like arrays and Pandas-like data frames at massive 
 scale. We have also integrated this software package into our data science
  workflow. This software package, called Arkouda, is primarily implemented
  in the Chapel programming language. Arkouda is currently in process to be
  open-sourced so our work can be shared with a broader community. In the p
 roposed talk we will cover the why, how, and what of Arkouda.\n\nTag: Work
 shop Reg Pass, MPI, Parallel Application Frameworks, Parallel Programming 
 Languages, Libraries, and Models, Python, Scalable Computing\n\nRegistrati
 on Category: Workshop Reg Pass, MPI, Parallel Application Frameworks, Para
 llel Programming Languages, Libraries, and Models, Python, Scalable Comput
 ing
URL:https://sc19.supercomputing.org/presentation/?id=ws_pawatm107&sess=ses
 s108
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