ADCAS ran a workshop at UNSW (University of New South Wales) for 40 participants on the topic of coding best practice in scientific computing. The workshop was aimed at researchers without formal coding/software development training (which is pretty much all researchers!). The workshop was delivered in a hybrid mode with most people attending in person, but with a strong contingent of online folks.
The three day workshop was designed to give people a taste of many different aspects of best practices in scientific computing, with topics ranging from version control, testing, and documentation, to the use of containers, HPC (high-performance computing), how to parallelize code, as well as how to benchmark and profile code.
The workshop content can be found on GitHub.
Check out some of our other training projects.
A four-part ML (machine learning) workshop consisting of a lecture on the history of ML and it's applications in astronomy research and three deep-dive sessions to apply ML techniques to astronomy data sets.
The ASA Early Career Researcher (ECR) Chapter Steering Committee organised a virtual "How To" series, answering some of the most pressing questions from our community.
A workshop on ML (Machine Learning) algorithms for Solar, Stellar and Space Physics, hosted at USQ in May, 2024.