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<div class="moz-cite-prefix">Mark Bakker <span dir="ltr"><<a
moz-do-not-send="true" href="mailto:markbak@gmail.com"
target="_blank">markbak@gmail.com</a>></span> wrote:<br>
<span style="font-family:arial,sans-serif;font-size:13px">We have
developed a series of 15 Notebooks for scientists and engineers
who want to use Python programming for exploratory computing,
scipting, data analysis, and visualization....</span><span
style="font-family:arial,sans-serif;font-size:13px"></span><br
style="font-family:arial,sans-serif;font-size:13px">
<div style="font-family:arial,sans-serif;font-size:13px"><br>
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Satrajit Ghosh wrote:<br>
</div>
<blockquote
cite="mid:CA+A4wOnxSQ-yELs0B5LjVYEVDf-6KZ54r4k_NrBmSK-7yAQ5NA@mail.gmail.com"
type="cite">
<div dir="ltr">- how could we disseminate or find such modules
that can be used for teaching, without having to go through
every single notebook?
<div>
<div class="gmail_extra">- how do we describe the prior
knowledge required through a dependency structure?</div>
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</blockquote>
<br>
Greg Wilson writes:<br>
During our sprint last week, Rémi Emonet and Raniere Silva started
exploring the idea of using off-the-shelf package managers to manage
lesson material [1,2] so that something like:<br>
<br>
$ conda install barba-12-steps-navier-stokes<br>
<br>
will do what it should. I'm really excited by the idea, and hope to
put some time into it once September rolls around - if people are
interested, I'll send a note to this list once work gets under way.<br>
<br>
Thanks,<br>
Greg Wilson<br>
<br>
[1]
<a class="moz-txt-link-freetext" href="https://softwarecarpentrylessonmanager.github.io/lesson-manager/04-howto.html">https://softwarecarpentrylessonmanager.github.io/lesson-manager/04-howto.html</a><br>
[2] <a class="moz-txt-link-freetext" href="http://blog.rgaiacs.com/2014/07/27/sprint.html">http://blog.rgaiacs.com/2014/07/27/sprint.html</a><br>
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