[QSB-grads] Reproducible Research with the Jupyter notebook: workshop Jan 11-12

[Emily Jane McTavish]

Hi QSB,

There are still a few spots available for this workshop next week.
Please sign up if you are interested in attending,

Emily Jane

-------- Forwarded Message --------
Subject: 	Reproducible Research with the Jupyter notebook: workshop Jan 
11-12
Date: 	Mon, 4 Dec 2017 13:18:33 -0800
From: 	Emily Jane McTavish <ejmctavish at ucmerced.edu>
To: 	qsb-faculty at lists.ucmerced.edu, qsb-grads at lists.ucmerced.edu, 
qsb-postdocs at lists.ucmerced.edu



Hello QSB,

We will be holding a pilot workshop on Reproducible Research using the 
Jupyter notebook January 11-12.

> The objective of this workshop is to learn about and work with 
> theJupyter notebook <http://jupyter.org/>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.
>
> The event is organized jointly byData Carpentry 
> <http://datacarpentry.org/>and theJupyter Notebook 
> <http://jupyter.org/>project.
>
>
> 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.
>
>
> https://reproducible-science-curriculum.github.io/rr-jupyter-workshop/
>

If you are interested please sign up at:
http://www.datacarpentry.org/2018-01-11-ucmerced/

You will need to commit to attending both days of the workshop.

Please contact me if you have questions,
Emily Jane

-- 
Emily Jane McTavish
Assistant Professor
School of Natural Sciences
University of California, Merced
5200 N. Lake Rd, Merced CA 95343
ejmctavish at gmail.com,ejmctavish at ucmerced.edu
https://mctavishlab.github.io/

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