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Geographic Data Science with PySAL2.0: a taster

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This repository contains materials for the masterclass delivered by Dani Arribas-Bel at the Universidad Complutense de Madrid in February'19, hosted by t-GIS.

The structure of the pack folder is as follows:

  • data: local copies of the data required for the session
  • notebooks: Jupyter notebook files with code, output and (a bit of) narrative
  • html: HTML versions of each Jupyter notebook
  • pdf: PDF versions of each Jupyter notebook
  • figs: images embedded in the notebooks

Creative Commons License
Geographic Data Science with PySAL2.0: a taster by Dani Arribas-Bel is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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GDS for UCM'19

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