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January Meetup

Details

We are delighted to welcome you to our first event of the new year!

Schedule

18:00--18:45h: Refreshments (Food served on first come first served basis)

18:45--18:50h: Welcome

18:50--20:00h: "Convincing IT that R packages are safe" Russ Hyde, Jumping Rivers

Much of the data science world is built upon community-contributed, open source, packages. Since anyone can view, modify, extend, and borrow from this code, the package ecosystem can evolve at a fast pace. However, when you use one of these packages in your project, you now rely on both it and its dependencies: so any code-quality, documentation or security issues in that stack are now adopted by your own project. In highly-regulated or security-conscious industries, data teams may find themselves restricted to using a constrained set of validated packages – those that have peer-reviewed publications, or which have been validated by internal IT teams – and this can limit experimentation with new packages, or mean teams work with out of date versions of established packages.

In this talk, I’ll describe a product that Jumping Rivers have been developing that aims to support the use of R packages in such regulated environments. The tool, litmus, provides an automated assessment of security, code quality / correctness, documentation, and outlines how packages could be improved to meet the needs of a demanding IT team.

We’ll also discuss the package quality-checks that repositories CRAN and Bioconductor have had in place for many years and how these ensure packages continue to work as the R ecosystem evolves.

News and Announcements

Have a news item or announcement you'd like to make about upcoming data events or job opportunities in Leeds? Comment below or contact us directly (**lds@jumpingrivers.com**) and we'll do our best to circulate this information at the end of the session.

Please contact the organisers if you would like to volunteer as a speaker for future events.

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Leeds Data Science Meetup
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Platform
New Station Street · Leeds