Jupyter Notebooks a Quick-Step Towards Literate Computing and Reproducible Research
- Title
- Jupyter Notebooks a Quick-Step Towards Literate Computing and Reproducible Research
- Speaker(s)
- Speaker: Vernon Gayle # University of Edinburgh
- Date and Time
- 26th Jan 2017 13:00 - 26th Jan 2017 14:15
- Location
- 6th floor staff room, Chrystal Macmillan Building
- URL
- http://www.q-step.ed.ac.uk/community/events/research_seminars/2017/jupyter_notebooks_a_quick-step_towards_literate_computing_and_reproducible_research
We start the new year with a follow-up to the last seminar of 2016: Join us and Professor Vernon Gayle for an introduction to Jupyter Notebooks - a quick-step towards literate computing and reproducible research!
The known universe of data that are available to social science researchers is ever expanding, and the second decade of the 21st Century is characterised by the explosion of new forms of data. The increased processing speed of computers and the expansion of affordable storage capacity present exciting opportunities for social science research. The result is that empirical studies in social science disciplines are likely to become increasingly computationally intensive. Because of these rapid changes in both the data and the computational landscape Vernon conjectures that social scientists need to re-think aspects of the research process.
His presentation draws on work within the Administrative Data Research Centre - Scotland bringing together social scientists and computer scientists with expertise in e-research and data science to develop a framework and tools to provide improved workflows in the analysis of administrative social science data. The focus of his presentation is ‘literate computing’, which involves the weaving of research narratives directly into live computation, interleaving text and documentation with research code and results to construct complete and transparent workflows with the goal of communicating social science results.
The presentation will concentrate on four inter-related aspects of the workflow – accuracy, programing efficiency, transparency and reproducibility. Vernon will demonstrate how Jupyter notebooks can be used to assist in currently underexplored areas such as research code sharing, producing rich visual outputs, markdown and documentation, portability, undertaking language agnostic data analysis.
This event will take place on Thursday January 26 from 1pm-2.15pm in the 6th floor staff room in the Chrystal Macmillan Building. It will be followed by a practical introduction into how to use Jupyter Notebooks from 14.15 - 16.00 in the same room.
