py-SUbyT
A Python library for Semantic Uplifting by Templates.
An easy way (through python) to produce Linked Data (aka semantic uplifting) from classic data files (CSV, XML, JSON) into triples (RDF, turtle) through jinja-Templating
Usage and further reading
Please check out the Py-SUbyt documentation. Namely:
- the user guide
- the supported features
- the examples
- and the style guide!
Metadata
Release files for pysubyt 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pysubyt-0.1.0.tar.gz | 12.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pysubyt-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.9 kB
Release files / pysubyt-0.1.0.tar.gz
| Download URL | pysubyt-0.1.0.tar.gz |
|---|---|
| Size | 12.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.5.1 CPython/3.9.12 Windows/10
|
Release files / pysubyt-0.1.0-py3-none-any.whl
| Download URL | pysubyt-0.1.0-py3-none-any.whl |
|---|---|
| Size | 14.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.5.1 CPython/3.9.12 Windows/10
|