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Hello QSB,<br>
<br>
We will be holding a pilot workshop on Reproducible Research using
the Jupyter notebook January 11-12. <br>
<br>
<blockquote type="cite"><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">The
objective of this workshop is to learn about and work with the</span><a
href="http://jupyter.org/" style="text-decoration:none;"><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
</span><span
style="font-size:11pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">Jupyter
notebook</span></a><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
as a tool promoting best practices for reproducible research.
Jupyter notebooks are increasingly widely adopted, and have been
the main method of displaying detailed results in a number of
high-profile scientific papers. As a tool promoting reproducible
practices, Jupyter notebooks allow users to interleave text,
code, and output into a single, interactive document that
includes features facilitating research exploration, interactive
learning, and sharing over the internet. Their dynamic nature is
ideally suited to sharing all steps of the research workflow in
a reproducible manner. Although this workshop will use Python as
the programming language, Jupyter notebooks can be used with
over 40 common programing languages, and the notebook document
format is programming language-agnostic.</span>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">The
event is organized jointly by</span><a
href="http://datacarpentry.org/" style="text-decoration:none;"><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
</span><span
style="font-size:11pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">Data
Carpentry</span></a><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
and the</span><a href="http://jupyter.org/"
style="text-decoration:none;"><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
</span><span
style="font-size:11pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">Jupyter
Notebook</span></a><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
project.</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">The
workshop is aimed at graduate students, postdocs, and other
researchers who perform computational analysis or work. The
material uses basic Python for teaching and illustrating the
key concepts. Advanced knowledge of Python is not needed, but
some familiarity with Python will aid in absorbing the
material.</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><a
class="moz-txt-link-freetext"
href="https://reproducible-science-curriculum.github.io/rr-jupyter-workshop/">https://reproducible-science-curriculum.github.io/rr-jupyter-workshop/</a></span></p>
</blockquote>
<br>
If you are interested please sign up at:<br>
<a href="http://www.datacarpentry.org/2018-01-11-ucmerced/">http://www.datacarpentry.org/2018-01-11-ucmerced/</a><br>
<br>
You will need to commit to attending both days of the workshop.<br>
<br>
Please contact me if you have questions,<br>
Emily Jane<br>
<br>
<pre class="moz-signature" cols="72">--
Emily Jane McTavish
Assistant Professor
School of Natural Sciences
University of California, Merced
5200 N. Lake Rd, Merced CA 95343
<a class="moz-txt-link-abbreviated" href="mailto:ejmctavish@gmail.com">ejmctavish@gmail.com</a>, <a class="moz-txt-link-abbreviated" href="mailto:ejmctavish@ucmerced.edu">ejmctavish@ucmerced.edu</a>
<a class="moz-txt-link-freetext" href="https://mctavishlab.github.io/">https://mctavishlab.github.io/</a></pre>
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