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<p> | ||
<a href="{{site.swc_site}}">Software Carpentry</a> | ||
aims to help researchers get their work done | ||
in less time and with less pain | ||
by teaching them basic research computing skills. | ||
This hands-on workshop will cover basic concepts and tools, | ||
including program design, version control, data management, | ||
and task automation. | ||
Participants will be encouraged to help one another | ||
and to apply what they have learned to their own research problems. | ||
The KAUST Visualization Lab is hosting an <em>Introduction to Conda for (Data) Scientists</em> | ||
workshop. Conda is an open source package and environment management system that runs on | ||
Windows, macOS and Linux. Conda installs, runs, and updates packages and their dependencies. | ||
Conda easily creates, saves, loads, and switches between environments on your local computer. | ||
While Conda was created for Python programs it can package and distribute software for any | ||
languages such as R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN. This lesson motivates | ||
the use of Conda as a development tool for building and sharing project specific software | ||
environments that facilitate reproducible (data) science workflows. | ||
</p> | ||
<p> | ||
Topics covered will include | ||
</p> | ||
<ul> | ||
<li>Getting Started with Conda</li> | ||
<li>Working with Environments</li> | ||
<li>Sharing Environments</li> | ||
<li>Using Packages and Channels</li> | ||
</ul> | ||
|
||
<p> | ||
This hands-on lesson is part of the <em>Introduction to Data Science Workshop Series</em> | ||
being offered by KVL as part of our on-going efforts to build | ||
capacity in core data science skills both at KAUST and within the Kingdom of Saudi Arabia (KSA). | ||
</p> | ||
<p> | ||
The workshop curriculum largely follows the | ||
<a href="https://carpentries-incubator.github.io/introduction-to-conda-for-data-scientists/">curriculum</a> developed by | ||
<a href="{{site.swc_site}}">Software Carpentry</a>, a volunteer project dedicated to helping | ||
researchers get their work done in less time and with less pain by teaching them basic research | ||
computing skills. | ||
</p> | ||
<p> | ||
This is a live-coding based workshop and learners are expected to work along with the instructor using freely | ||
available cloud resources provided by the <a href="https://mybinder.readthedocs.io/en/latest/">Binder</a> project. | ||
</p> | ||
|
||
<p align="center"> | ||
<em> | ||
For more information on what we teach and why, | ||
please see our paper | ||
"<a href="https://doi.org/10.1371/journal.pbio.1001745">Best Practices for Scientific Computing</a>". | ||
For more information on what Software Carpentry teaches and why, please see their paper | ||
"<a href="http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745">Best Practices for Scientific Computing</a>". | ||
</em> | ||
</p> | ||
</p> |
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