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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Open Research Skills Framework
We all stand on the shoulders of giants, building on others’ research,
and open source software such as NumPy, data.table, or LAPACK. How can
we effectively give back, and ensure that other researchers can
continue to build on our work?
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Introduction to Version Control with Git and GitHub
Killian introduced version control with Git and GitHub, starting with an overview of version control, working through working alone with git and GitHub and finishing with the basics of collaborating with others.
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