csvcubed - PMD

Tools to transform a CSV-qb into RDF which is compatible with the Publish My Data platform.

Part of the csvcubed project.

It is anticipated that this library will only be for internal IDP-D usage and does not need to be installed or distributed to external data producers.

Adding a package

Dependencies are installed in the Docker container on a container-wide basis. If you're adding a new package, first run:

poetry add <some-package>

And once that has completed, if you are working inside the docker dev container, you must rebuild the container before the packages will be available for your use.

Metadata

Release files for csvcubed-pmd 1.0.14

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for csvcubed-pmd 1.0.14
File	Interpreter	ABI	Platform	Reset
csvcubed_pmd-1.0.14-py3-none-any.whl 18.8 kB Oct 28, 2024	Python 3	none	any	Details

Release files / csvcubed_pmd-1.0.14-py3-none-any.whl

Download URL	csvcubed_pmd-1.0.14-py3-none-any.whl
Size	18.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`560481b6387393510dac329a6f8c0eba494d53456312367b9be681bab4458009`
BLAKE2b-256 checksum How to use checksums	`8a15a75a1ee9ec78b052cdd1782d926b1398d291099f2b8b75d2a0a3216f26c9`
Upload date	Oct 28, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.7`