LunchBytes is a new monthly series of short talks for those in the research community at TUOS who work with/write code, use/manage research data and use/manage research infrastructure. We hope through these talks we will come together as a community to discuss best practices and useful methods/tools.
Notebooks (Jupyter, R etc) have become a popular tools for research and prototyping in data science, but what are the advantages and pitfalls? At this LunchBytes event we’ll be exploring Jupyter notebooks and their pros and cons via three short talks. Each will be ~10 minutes, leaving half an hour for discussion/questions.
This lunchBytes session will be run at the following Google meet (https://meet.google.com/anf-oxok-xsp) which is open to members of the University of Sheffield. If you would like to attend and do not have a Sheffield account, please contact the organisers by email at email@example.com.
Google JamBoard for Q&A: note down questions/comments (using JamBoard Sticky Notes) before/during the event.
Fedor Gorokhovik, Man group
This short presentation aims at introducing how Jupyter became one of the main tools in the financial industry, slowly replacing Excel. Why is it the perfect tool for the trade, and what are the risks?
John Charlton, Sheffield RSE Team
How to use extensions and libraries with Jupyter Notebooks to tackle some of its shortcomings and support the strengths.
Jupyter Notebooks are a great tool for research, data science type things, and teaching. But they are not perfect - they support exploration, but not other parts of the coding phase such as modularity and scaling. This talk lists some common limitations and pitfalls and what you can do to avoid them.
For queries relating to collaborating with the RSE team on projects: firstname.lastname@example.org
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