The FAIR principles are a set of guidelines for optimising the reuse of research data
and software. Adopting them in our research can improve the visibility, efficiency, and
impact of our work, in addition to aiding reproducibility and promoting open science
practices.
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Rust for Reproducible Research
Alastair made the case for Rust as a language choice for reproducible computational research, contrasting it with popular languages and exemplifying some of the language features that can help researchers to write safe, robust, reusable code.
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Speeding up R for Data Analysis
Stuart discussed a variety of methods to speed up your data analysis in R, covering a wide range of topics including: vectorisation, linking datasets, data.table, larger than memory datasets, duckdb, and Rcpp.
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MATLAB - How to speed up your code and run jobs on Viking from MATLAB
Do you run MATLAB code on your own computer? Would you like it to run faster and not hog your computer? Would you like to use MATLAB on the university’s Viking computing cluster without having to know how to use Linux? Then this session is for you.
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Write faster code
An introduction to profiling, optimisation and parallelisation
Have you ever wondered if the programs you write are making the best use of your computing resources? Could your hour-long calculations be run in only a few minutes?
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