Jupyter Notebooks and JupyterLab provide interactive computing environments for working with Python, R, Julia and other programming languages. Jupyter is helpful for teaching and learning contexts and popular for academic computing projects.
Published in Chapter:
Building, Sustaining, and Growing Multidisciplinary, Multi-Departmental Partnerships to Teach Open Science Tools
Cody Hennesy (University of Minnesota, Twin Cities, USA), Caitlin Bakker (University of Minnesota, Twin Cities, USA), Nicholas J. H. Dunn (University of Minnesota, Twin Cities, USA), David Naughton (University of Minnesota, Twin Cities, USA), Franklin Sayre (Thompson Rivers University, Canada), and Stacie Traill (University of Minnesota, Twin Cities, USA)
Copyright: © 2022
|Pages: 20
DOI: 10.4018/978-1-7998-9702-6.ch009
Abstract
In three and a half years, the University of Minnesota Carpentries Initiative has taught over 180 hours of synchronous workshops covering research computing skills to over 400 students. During this time, learners from every college in the university have been exposed to best practices and hands-on guidance in the use of programming tools to streamline a range of research activities, from cleaning data to conducting analysis to creating visualizations. This cross-campus initiative has allowed departments and individuals to expand their networks and skillsets, creating opportunities for professional growth through a scalable, sustainable service model. This chapter describes lessons learned in recruiting, maintaining, and growing a multi-departmental team of librarians, technology specialists, and graduate students to deliver data science education.