4/9 Research Software Engineering with Python (COMP233) - Data Formats
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
4/9 Research Software Engineering with Python (COMP233) - Data Formats
-
Narrated by:
-
By:
About this listen
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
Don't be shy - say Hi
This podcast is brought to you by the Advanced Research Computing Centre of the University College London, UK.
Producer and Host: Peter Schmidt
No reviews yet
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.