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)