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Software . 2019
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Software . 2019
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widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 18 Dec 2019Publisher:Zenodo
Authors: Madicken Munk; Matthew Turk;

doi: 10.5281/zenodo.3583415 , 10.5281/zenodo.3583416

widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt

Abstract

widgyts version 0.3.2 release! This release marks the acceptance of widgyts into the Journal of Open Source Software. Updates from 0.3.1 include support for Jupyterlab 1.0 updated example notebooks sphinx documentation test suite for Python code Check out our documentation at https://widgyts.readthedocs.io/ Installation ------------ To install using pip from the most recent released version: $ pip install widgyts To install using pip from this directory: $ git clone https://github.com/data-exp-lab/widgyts.git $ cd widgyts $ pip install .

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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