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Tiny Data: Using Jupyter Notebooks for Data Collection in a Nanotechnology Lab
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jdc16
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Author(s):
J. Henry Hinnefeld
Location
Civis
Date
feb Sat 20
Days Raw Files
Start
16:40
First Raw Start
16:39
Duration
20:00
Offset
0:00:15
End
17:00
Last Raw End
17:00
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00:00
0:16:00
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21 min.
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Description:
The 'notebook' paradigm of Project Jupyter is a natural fit for research applications, but to date most use cases have focused on analyzing pre-existing data. In this talk I'll describe how our lab at the University of Illinois built a Jupyter notebook-based data collection framework, our motivations for doing so, and the advantages we've found to using Python and Jupyter notebooks in an experimental research environment.
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2016-02-20/16_39_45.dv
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