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Python-based workshop describing and exploring APIs for accessing publicly available data

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DataAPIs-Workshop

Python-based workshop describing and exploring APIs for accessing publicly available data

Proposed outline

  1. Discuss formats in which data is made availible: closed formats, single files, web pages, figures & tables, databases, APIs
  2. Python library for accessing a data resource - best case, figure, queryies
  3. Where to put JSON & HTTP response codes
  4. Requests library for accessing REST APIs (or other APIs) directly
  5. Scrapeing data from HTML, automating downloads, spidering

Lead in to SQL workshop the following week - importing data & formatting as CSV or other tabular.

Refer back to vis in Python workshop

List of typical urban analytics problems

List of Gainesville-specific data/questions

http://introtopython.org/visualization_earthquakes.html

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