Coffee & Code: Reproducibility and Communication Using Notebooks (Jupyter (python) & R)
This workshop is part of UNM's Research Data Services Coffee & Code workshop series that focus on tools and strategies that make data management, analysis, visualization, communication, and sharing more efficient and more fun. This Spring we are doubling the fun with two workshops each month for February, March, and April.
This workshop will will provide a hands-on introduction to the notebook environments that are available for the R (RMarkdown & RNotebooks in RStudio) and python (Jupyter Notebooks) programming languages in support of enhanced reproducibility and communication of analytic processes and results. We will gain hands-on experience with Markdown (a shared simple markup language that is common to both notebook environments) and the strategies for working in both RMarkdown and Jupyter notebooks to produce well documented and executable notebooks that can easily be shared with others, either for execution, or as documents for communication of your analysis and results. To participate in the workshop (which we strongly recommend) you will need to install the R programming language (available for free download from here: https://cran.r-project.org), the free RStudio Desktop open source IDE (https://rstudio.com/products/rstudio/download/), and a recent release of the Anaconda python (currently python version 3.8 - https://www.anaconda.com/products/individual) environment. These installations will provide you with both notebook environments and their associated languages that we will be demonstrating in this workshop.
In response to recommendations of social distancing and minimizing personal interaction to reduce opportunities for transmission of the COVID-19 virus RDS is moving our workshops online for the foreseeable future. Please register so that we can send you any updates to the workshop connection information or scheduling.
This workshop will be virtually presented via Zoom. Zoom connection information will be sent out as part of the workshop reminder the day before the workshop.
Related LibGuide: Data Workshops and Webinars by Karl Benedict
- Friday, April 23, 2021
- 9:00am - 11:00am
- Time Zone:
- Mountain Time - US & Canada (change)