<html>#2538: Inclusion of kuibit
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<tr><td style='text-align:right'> Reporter:</td><td>Gabriele Bozzola</td></tr>
<tr><td style='text-align:right'> Status:</td><td>open</td></tr>
<tr><td style='text-align:right'>Milestone:</td><td>ET_2021_11</td></tr>
<tr><td style='text-align:right'> Version:</td><td>development version</td></tr>
<tr><td style='text-align:right'> Type:</td><td>enhancement</td></tr>
<tr><td style='text-align:right'> Priority:</td><td>major</td></tr>
<tr><td style='text-align:right'>Component:</td><td></td></tr>
</table>
<p>Comment (by Roland Haas):</p>
<p>Thank you. You can certainly add the scipy and numpy citations as suggested ones. If you do list citations for kuibit’s dependencies (typically not done, those dependenicies would have their own list) you may also consider the matplotlib citation (which they actually request, <a data-is-external-link="true" href="https://matplotlib.org/3.1.1/citing.html" rel="nofollow">https://matplotlib.org/3.1.1/citing.html</a>):</p>
<div class="codehilite language-tex"><pre><span></span>@Article<span class="nb">{</span>Hunter:2007,
Author = <span class="nb">{</span>Hunter, J. D.<span class="nb">}</span>,
Title = <span class="nb">{</span>Matplotlib: A 2D graphics environment<span class="nb">}</span>,
Journal = <span class="nb">{</span>Computing in Science <span class="k">\&</span> Engineering<span class="nb">}</span>,
Volume = <span class="nb">{</span>9<span class="nb">}</span>,
Number = <span class="nb">{</span>3<span class="nb">}</span>,
Pages = <span class="nb">{</span>90--95<span class="nb">}</span>,
abstract = <span class="nb">{</span>Matplotlib is a 2D graphics package used for Python for
application development, interactive scripting, and publication-quality
image generation across user interfaces and operating systems.<span class="nb">}</span>,
publisher = <span class="nb">{</span>IEEE COMPUTER SOC<span class="nb">}</span>,
doi = <span class="nb">{</span>10.1109/MCSE.2007.55<span class="nb">}</span>,
year = 2007
<span class="nb">}</span>
</pre></div>
<p>though the entry itself already exists in einsteintoolkit.bib. Usually the suggested citations are secondary publications or publications that describe specific aspects that not all users will use.</p>
<p>Independent of this, adding the numpy and scipy entries (with or without suggested-for) to einsteintoolkit.bib seems like a good idea. Thanks for looking them up.</p>
<p>--<br/>
Ticket URL: <a href='https://bitbucket.org/einsteintoolkit/tickets/issues/2538/inclusion-of-kuibit'>https://bitbucket.org/einsteintoolkit/tickets/issues/2538/inclusion-of-kuibit</a></p>
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