4/9 Research Software Engineering with Python (COMP233) - Data Formats
Update: 2025-10-22
Description
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
Comments
In Channel
Download from Google Play
Download from App Store
United States00:00
00:00
x
