wdsparql 0.0.3

Run Wikidata Sparql queries directly on your notebook

wdsparqlmagic

IPython magic to run Wikidata's Sparql queries on the notebooks

Sample Notebook

You can run the sample notebook on binder

Features

Magics

• %%wdsparql: Runs the cell as a sparql query on your notebook
• %wdseturl <url>: Sets the url to run the queries against
• %wdreseturl: Resets the url

Other features

• After running a wdsparql query, a pandas dataframe will be available as _dfwd. You can run all common pandas operations against it.

Developing

Publishing

Just add a new tag or release with git tag vX.Y.Z -m "<Comment>"; git push --tags

TODO:

• What happens if an error occurs?
  • Raising custom exception
• Expose the last query result to the namespace as a pandas dataframe
• Create setup.py
• Upload to pypi
• Make sample notebook (use wikipedia's queries)
• Write the README.md
  • Button to "run with binder"
  • Explain all the magics:
    • wdsparql
    • wdseturl
    • wdreseturl
• Testing
  • Unit testing for the functions
  • Visual testing for the sample notebook
• Make test, build and upload automatically using github actions
  • Check linting tools
  • Use matrix to check with multiple python versions
• For displaying, stop using dataframes and use a custom class
  • Make links clickable
  • Make items appear as <a href="<link">Q1984194810</a>
  • Display images
  • Display map
• Adding more queries than the simple ones to the notebook

Optional:

• Making a new kernel instead of an extension (select cell language: sparql)