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  1. The most extensive public dataset of historical painters on the internet. Created from combining WikiArt and Art500k painting data, enriched using Wikidata.

    Jupyter Notebook 11 1

  2. A collection of large scale painter network analyses: Painter, style and movement networks structure analysis; coexhibition networks; static and dynamic analyses of a co-location painter network.

    Jupyter Notebook 3 2

  3. Want to collect data from Wikipedia person profiles? Use the Wikidata SparQL API wrapper: A high-level module with methods to simplify data collection, and cleaning and processing results from the …

    Python 4 1

  4. Construction of a large painter network with ~3000 painters using the PainterPalette dataset, connecting painters if they lived at the same place for long enough time.

    Jupyter Notebook 7 1

  5. Artist network creation from coexhibition data, stored in Neo4j, with a KNIME ETL pipeline to extract, make Wikidata API calls to enrich unseen artist data, load into DB and run Neo4j analytics. Ch…

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  6. Calculator using infrared sensors as buttons: designed a PCB in Altium Designer to an STM32 Nucleo64 microcontroller. Infrared sensors are used as buttons, as an object gets close to them, their ou…

    C 1