UCL for Code in Research
UCL for Code in Research
Podcast Description
The companion podcast for courses on programming from the Advanced Research Computing Centre of the University College of London, UK.
Podcast Insights
Content Themes
The podcast covers foundational aspects of C++ programming including topics like polymorphism, exception handling, data types, and smart pointers, with episodes such as 'On Polymorphism' and 'Throw, try, catch...test' delving into specific programming techniques. The show emphasizes practical coding strategies alongside theoretical concepts.
The companion podcast for courses on programming from the Advanced Research Computing Centre of the University College of London, UK.
In this episode I'll be discussing data formats such as CSV, JSON and YAML. My guest is Nick Radcliffe from Stochastic Solutions and the Uni. Edinburgh. Nick's expertise is in data science and he has a lot to share about data, data formats and how to use them.
Links
- https://www.linkedin.com/in/njradcliffe/ Nick's LinkedIn profile
- https://en.wikipedia.org/wiki/Comma-separated_values CSV formats
- https://www.json.org/json-en.html JSON
- https://json-ld.org JSON for linked data
- https://json-schema.org JSON schema
- https://yaml.org YAML
- https://parquet.apache.org Parquet by Apache
- https://hdfgroup.github.io/hdf5/ HDF5
Libraries
- https://numpy.org
- https://scipy.org
- https://scikit-learn.org/stable/
- http://www.tdda.info test driven data analysis
This podcast is brought to you by the Advanced Research Computing Centre of the University College London, UK.
Producer and Host: Peter Schmidt
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